├── .nojekyll ├── docs ├── .nojekyll ├── _static │ ├── proof.css │ ├── proof.js │ ├── scripts │ │ ├── furo-extensions.js │ │ └── furo.js.LICENSE.txt │ ├── file.png │ ├── plus.png │ ├── minus.png │ ├── img │ │ ├── x2-banner.png │ │ └── colouriser-demo-noaudio.mp4 │ ├── css │ │ └── fonts │ │ │ ├── Alegreya-Bold.woff │ │ │ ├── Alegreya-Black.woff │ │ │ ├── Alegreya-Black.woff2 │ │ │ ├── Alegreya-Bold.woff2 │ │ │ ├── Alegreya-Italic.woff │ │ │ ├── Alegreya-Medium.woff │ │ │ ├── AlegreyaSC-Bold.woff │ │ │ ├── ubuntumono-bold.woff │ │ │ ├── Alegreya-ExtraBold.woff │ │ │ ├── Alegreya-Italic.woff2 │ │ │ ├── Alegreya-Medium.woff2 │ │ │ ├── Alegreya-Regular.woff │ │ │ ├── Alegreya-Regular.woff2 │ │ │ ├── AlegreyaSC-Black.woff │ │ │ ├── AlegreyaSC-Black.woff2 │ │ │ ├── AlegreyaSC-Bold.woff2 │ │ │ ├── AlegreyaSC-Italic.woff │ │ │ ├── AlegreyaSC-Italic.woff2 │ │ │ ├── AlegreyaSC-Medium.woff │ │ │ ├── AlegreyaSC-Medium.woff2 │ │ │ ├── AlegreyaSC-Regular.woff │ │ │ ├── AlegreyaSans-Black.woff │ │ │ ├── AlegreyaSans-Bold.woff │ │ │ ├── AlegreyaSans-Bold.woff2 │ │ │ ├── AlegreyaSans-Light.woff │ │ │ ├── AlegreyaSans-Thin.woff │ │ │ ├── AlegreyaSans-Thin.woff2 │ │ │ ├── ubuntumono-bold.woff2 │ │ │ ├── ubuntumono-regular.woff │ │ │ ├── Alegreya-BlackItalic.woff │ │ │ ├── Alegreya-BoldItalic.woff │ │ │ ├── Alegreya-BoldItalic.woff2 │ │ │ ├── Alegreya-ExtraBold.woff2 │ │ │ ├── AlegreyaSC-ExtraBold.woff │ │ │ ├── AlegreyaSC-Regular.woff2 │ │ │ ├── AlegreyaSans-Black.woff2 │ │ │ ├── AlegreyaSans-Italic.woff │ │ │ ├── AlegreyaSans-Italic.woff2 │ │ │ ├── AlegreyaSans-Light.woff2 │ │ │ ├── AlegreyaSans-Medium.woff │ │ │ ├── AlegreyaSans-Medium.woff2 │ │ │ ├── AlegreyaSans-Regular.woff │ │ │ ├── AlegreyaSansSC-Black.woff │ │ │ ├── AlegreyaSansSC-Bold.woff │ │ │ ├── AlegreyaSansSC-Bold.woff2 │ │ │ ├── AlegreyaSansSC-Light.woff │ │ │ ├── AlegreyaSansSC-Thin.woff │ │ │ ├── AlegreyaSansSC-Thin.woff2 │ │ │ ├── ubuntumono-regular.woff2 │ │ │ ├── Alegreya-BlackItalic.woff2 │ │ │ ├── Alegreya-MediumItalic.woff │ │ │ ├── Alegreya-MediumItalic.woff2 │ │ │ ├── AlegreyaSC-BlackItalic.woff │ │ │ ├── AlegreyaSC-BlackItalic.woff2 │ │ │ ├── AlegreyaSC-BoldItalic.woff │ │ │ ├── AlegreyaSC-BoldItalic.woff2 │ │ │ ├── AlegreyaSC-ExtraBold.woff2 │ │ │ ├── AlegreyaSC-MediumItalic.woff │ │ │ ├── AlegreyaSans-BoldItalic.woff │ │ │ ├── AlegreyaSans-ExtraBold.woff │ │ │ ├── AlegreyaSans-ExtraBold.woff2 │ │ │ ├── AlegreyaSans-Regular.woff2 │ │ │ ├── AlegreyaSans-ThinItalic.woff │ │ │ ├── AlegreyaSansSC-Black.woff2 │ │ │ ├── AlegreyaSansSC-Italic.woff │ │ │ ├── AlegreyaSansSC-Italic.woff2 │ │ │ ├── AlegreyaSansSC-Light.woff2 │ │ │ ├── AlegreyaSansSC-Medium.woff │ │ │ ├── AlegreyaSansSC-Medium.woff2 │ │ │ ├── AlegreyaSansSC-Regular.woff │ │ │ ├── AlegreyaSansSC-Regular.woff2 │ │ │ ├── ubuntumono-bold-italic.woff │ │ │ ├── ubuntumono-bold-italic.woff2 │ │ │ ├── Alegreya-ExtraBoldItalic.woff │ │ │ ├── Alegreya-ExtraBoldItalic.woff2 │ │ │ ├── AlegreyaSC-MediumItalic.woff2 │ │ │ ├── AlegreyaSans-BlackItalic.woff │ │ │ ├── AlegreyaSans-BlackItalic.woff2 │ │ │ ├── AlegreyaSans-BoldItalic.woff2 │ │ │ ├── AlegreyaSans-LightItalic.woff │ │ │ ├── AlegreyaSans-LightItalic.woff2 │ │ │ ├── AlegreyaSans-MediumItalic.woff │ │ │ ├── AlegreyaSans-ThinItalic.woff2 │ │ │ ├── AlegreyaSansSC-BoldItalic.woff │ │ │ ├── AlegreyaSansSC-ExtraBold.woff │ │ │ ├── AlegreyaSansSC-ExtraBold.woff2 │ │ │ ├── AlegreyaSansSC-ThinItalic.woff │ │ │ ├── ubuntumono-regular-italic.woff │ │ │ ├── AlegreyaSC-ExtraBoldItalic.woff │ │ │ ├── AlegreyaSC-ExtraBoldItalic.woff2 │ │ │ ├── AlegreyaSans-ExtraBoldItalic.woff │ │ │ ├── AlegreyaSans-MediumItalic.woff2 │ │ │ ├── AlegreyaSansSC-BlackItalic.woff │ │ │ ├── AlegreyaSansSC-BlackItalic.woff2 │ │ │ ├── AlegreyaSansSC-BoldItalic.woff2 │ │ │ ├── AlegreyaSansSC-LightItalic.woff │ │ │ ├── AlegreyaSansSC-LightItalic.woff2 │ │ │ ├── AlegreyaSansSC-MediumItalic.woff │ │ │ ├── AlegreyaSansSC-MediumItalic.woff2 │ │ │ ├── AlegreyaSansSC-ThinItalic.woff2 │ │ │ ├── ubuntumono-regular-italic.woff2 │ │ │ ├── AlegreyaSans-ExtraBoldItalic.woff2 │ │ │ ├── AlegreyaSansSC-ExtraBoldItalic.woff │ │ │ ├── AlegreyaSansSC-ExtraBoldItalic.woff2 │ │ │ └── Alegreya-AUTHORS.txt │ ├── catalogue-v1 │ │ ├── sipu │ │ │ ├── a1.labels0.png │ │ │ ├── a2.labels0.png │ │ │ ├── a3.labels0.png │ │ │ ├── d31.labels0.png │ │ │ ├── r15.labels0.png │ │ │ ├── r15.labels1.png │ │ │ ├── r15.labels2.png │ │ │ ├── s1.labels0.png │ │ │ ├── s2.labels0.png │ │ │ ├── s3.labels0.png │ │ │ ├── s4.labels0.png │ │ │ ├── flame.labels0.png │ │ │ ├── flame.labels1.png │ │ │ ├── jain.labels0.png │ │ │ ├── birch1.labels0.png │ │ │ ├── birch2.labels0.png │ │ │ ├── compound.labels0.png │ │ │ ├── compound.labels1.png │ │ │ ├── compound.labels2.png │ │ │ ├── compound.labels3.png │ │ │ ├── compound.labels4.png │ │ │ ├── spiral.labels0.png │ │ │ ├── worms_2.labels0.png │ │ │ ├── pathbased.labels0.png │ │ │ ├── pathbased.labels1.png │ │ │ ├── unbalance.labels0.png │ │ │ ├── aggregation.labels0.png │ │ │ ├── jain.txt │ │ │ └── spiral.txt │ │ ├── wut │ │ │ ├── mk1.labels0.png │ │ │ ├── mk2.labels0.png │ │ │ ├── mk3.labels0.png │ │ │ ├── mk4.labels0.png │ │ │ ├── x1.labels0.png │ │ │ ├── x2.labels0.png │ │ │ ├── x2.labels1.png │ │ │ ├── x3.labels0.png │ │ │ ├── x3.labels1.png │ │ │ ├── z1.labels0.png │ │ │ ├── z2.labels0.png │ │ │ ├── z3.labels0.png │ │ │ ├── cross.labels0.png │ │ │ ├── graph.labels0.png │ │ │ ├── smile.labels0.png │ │ │ ├── smile.labels1.png │ │ │ ├── circles.labels0.png │ │ │ ├── isolation.labels0.png │ │ │ ├── labirynth.labels0.png │ │ │ ├── olympic.labels0.png │ │ │ ├── stripes.labels0.png │ │ │ ├── windows.labels0.png │ │ │ ├── twosplashes.labels0.png │ │ │ ├── trajectories.labels0.png │ │ │ ├── trapped_lovers.labels0.png │ │ │ ├── x1.txt │ │ │ ├── z1.txt │ │ │ ├── z2.txt │ │ │ ├── z3.txt │ │ │ ├── cross.txt │ │ │ ├── twosplashes.txt │ │ │ ├── smile.txt │ │ │ ├── x2.txt │ │ │ ├── x3.txt │ │ │ ├── mk1.txt │ │ │ ├── mk2.txt │ │ │ ├── mk3.txt │ │ │ ├── mk4.txt │ │ │ ├── olympic.txt │ │ │ └── stripes.txt │ │ ├── fcps │ │ │ ├── atom.labels0.png │ │ │ ├── hepta.labels0.png │ │ │ ├── lsun.labels0.png │ │ │ ├── tetra.labels0.png │ │ │ ├── engytime.labels0.png │ │ │ ├── engytime.labels1.png │ │ │ ├── target.labels0.png │ │ │ ├── target.labels1.png │ │ │ ├── wingnut.labels0.png │ │ │ ├── chainlink.labels0.png │ │ │ └── twodiamonds.labels0.png │ │ ├── graves │ │ │ ├── dense.labels0.png │ │ │ ├── fuzzyx.labels0.png │ │ │ ├── fuzzyx.labels1.png │ │ │ ├── fuzzyx.labels2.png │ │ │ ├── fuzzyx.labels3.png │ │ │ ├── fuzzyx.labels4.png │ │ │ ├── line.labels0.png │ │ │ ├── ring.labels0.png │ │ │ ├── zigzag.labels0.png │ │ │ ├── zigzag.labels1.png │ │ │ ├── parabolic.labels0.png │ │ │ ├── parabolic.labels1.png │ │ │ ├── ring_noisy.labels0.png │ │ │ ├── ring_outliers.labels0.png │ │ │ ├── ring_outliers.labels1.png │ │ │ ├── zigzag_noisy.labels0.png │ │ │ ├── zigzag_noisy.labels1.png │ │ │ ├── zigzag_outliers.labels0.png │ │ │ └── zigzag_outliers.labels1.png │ │ ├── other │ │ │ ├── hdbscan.labels0.png │ │ │ ├── square.labels0.png │ │ │ ├── chameleon_t4_8k.labels0.png │ │ │ ├── chameleon_t5_8k.labels0.png │ │ │ ├── chameleon_t7_10k.labels0.png │ │ │ ├── chameleon_t8_8k.labels0.png │ │ │ └── square.txt │ │ ├── g2mg │ │ │ ├── g2mg_1_10.labels0.png │ │ │ ├── g2mg_1_10.labels1.png │ │ │ ├── g2mg_1_20.labels0.png │ │ │ ├── g2mg_1_20.labels1.png │ │ │ ├── g2mg_1_30.labels0.png │ │ │ ├── g2mg_1_30.labels1.png │ │ │ ├── g2mg_1_40.labels0.png │ │ │ ├── g2mg_1_40.labels1.png │ │ │ ├── g2mg_1_50.labels0.png │ │ │ ├── g2mg_1_50.labels1.png │ │ │ ├── g2mg_1_60.labels0.png │ │ │ ├── g2mg_1_60.labels1.png │ │ │ ├── g2mg_1_70.labels0.png │ │ │ ├── g2mg_1_70.labels1.png │ │ │ ├── g2mg_1_80.labels0.png │ │ │ ├── g2mg_1_80.labels1.png │ │ │ ├── g2mg_1_90.labels0.png │ │ │ ├── g2mg_1_90.labels1.png │ │ │ ├── g2mg_2_10.labels0.png │ │ │ ├── g2mg_2_10.labels1.png │ │ │ ├── g2mg_2_20.labels0.png │ │ │ ├── g2mg_2_20.labels1.png │ │ │ ├── g2mg_2_30.labels0.png │ │ │ ├── g2mg_2_30.labels1.png │ │ │ ├── g2mg_2_40.labels0.png │ │ │ ├── g2mg_2_40.labels1.png │ │ │ ├── g2mg_2_50.labels0.png │ │ │ ├── g2mg_2_50.labels1.png │ │ │ ├── g2mg_2_60.labels0.png │ │ │ ├── g2mg_2_60.labels1.png │ │ │ ├── g2mg_2_70.labels0.png │ │ │ ├── g2mg_2_70.labels1.png │ │ │ ├── g2mg_2_80.labels0.png │ │ │ ├── g2mg_2_80.labels1.png │ │ │ ├── g2mg_2_90.labels0.png │ │ │ └── g2mg_2_90.labels1.png │ │ ├── h2mg │ │ │ ├── h2mg_1_10.labels0.png │ │ │ ├── h2mg_1_10.labels1.png │ │ │ ├── h2mg_1_20.labels0.png │ │ │ ├── h2mg_1_20.labels1.png │ │ │ ├── h2mg_1_30.labels0.png │ │ │ ├── h2mg_1_30.labels1.png │ │ │ ├── h2mg_1_40.labels0.png │ │ │ ├── h2mg_1_40.labels1.png │ │ │ ├── h2mg_1_50.labels0.png │ │ │ ├── h2mg_1_50.labels1.png │ │ │ ├── h2mg_1_60.labels0.png │ │ │ ├── h2mg_1_60.labels1.png │ │ │ ├── h2mg_1_70.labels0.png │ │ │ ├── h2mg_1_70.labels1.png │ │ │ ├── h2mg_1_80.labels0.png │ │ │ ├── h2mg_1_80.labels1.png │ │ │ ├── h2mg_1_90.labels0.png │ │ │ ├── h2mg_1_90.labels1.png │ │ │ ├── h2mg_2_10.labels0.png │ │ │ ├── h2mg_2_10.labels1.png │ │ │ ├── h2mg_2_20.labels0.png │ │ │ ├── h2mg_2_20.labels1.png │ │ │ ├── h2mg_2_30.labels0.png │ │ │ ├── h2mg_2_30.labels1.png │ │ │ ├── h2mg_2_40.labels0.png │ │ │ ├── h2mg_2_40.labels1.png │ │ │ ├── h2mg_2_50.labels0.png │ │ │ ├── h2mg_2_50.labels1.png │ │ │ ├── h2mg_2_60.labels0.png │ │ │ ├── h2mg_2_60.labels1.png │ │ │ ├── h2mg_2_70.labels0.png │ │ │ ├── h2mg_2_70.labels1.png │ │ │ ├── h2mg_2_80.labels0.png │ │ │ ├── h2mg_2_80.labels1.png │ │ │ ├── h2mg_2_90.labels0.png │ │ │ └── h2mg_2_90.labels1.png │ │ ├── uci │ │ │ ├── ecoli.txt │ │ │ ├── wine.txt │ │ │ ├── yeast.txt │ │ │ ├── ionosphere.txt │ │ │ ├── glass.txt │ │ │ ├── statlog.txt │ │ │ ├── wdbc.txt │ │ │ └── sonar.txt │ │ └── mnist │ │ │ └── digits.txt │ ├── graphviz.css │ ├── documentation_options.js │ └── plot_directive.css ├── CNAME ├── objects.inv └── _images │ ├── x2-banner.png │ ├── many-partitions-1.png │ ├── many-partitions-genie-3.png │ ├── using-clustbench-example1-1.png │ ├── using-clustbench-example2-3.png │ ├── using-clustbench-example3-5.png │ ├── partition-similarity-example-2-1.png │ ├── partition-similarity-example-2b-3.png │ ├── partition-similarity-example-4-1.png │ ├── partition-similarity-noise-data-1.png │ └── partition-similarity-noise-genie-3.png ├── .devel ├── sphinx │ ├── _static │ │ ├── proof.css │ │ ├── proof.js │ │ ├── img │ │ │ ├── x2-banner.png │ │ │ └── colouriser-demo-noaudio.mp4 │ │ ├── css │ │ │ └── fonts │ │ │ │ ├── Alegreya-Black.woff │ │ │ │ ├── Alegreya-Bold.woff │ │ │ │ ├── Alegreya-Bold.woff2 │ │ │ │ ├── Alegreya-Black.woff2 │ │ │ │ ├── Alegreya-Italic.woff │ │ │ │ ├── Alegreya-Italic.woff2 │ │ │ │ ├── Alegreya-Medium.woff │ │ │ │ ├── Alegreya-Medium.woff2 │ │ │ │ ├── Alegreya-Regular.woff │ │ │ │ ├── AlegreyaSC-Black.woff │ │ │ │ ├── AlegreyaSC-Bold.woff │ │ │ │ ├── AlegreyaSC-Bold.woff2 │ │ │ │ ├── ubuntumono-bold.woff │ │ │ │ ├── ubuntumono-bold.woff2 │ │ │ │ ├── Alegreya-BoldItalic.woff │ │ │ │ ├── Alegreya-ExtraBold.woff │ │ │ │ ├── Alegreya-ExtraBold.woff2 │ │ │ │ ├── Alegreya-Regular.woff2 │ │ │ │ ├── AlegreyaSC-Black.woff2 │ │ │ │ ├── AlegreyaSC-Italic.woff │ │ │ │ ├── AlegreyaSC-Italic.woff2 │ │ │ │ ├── AlegreyaSC-Medium.woff │ │ │ │ ├── AlegreyaSC-Medium.woff2 │ │ │ │ ├── AlegreyaSC-Regular.woff │ │ │ │ ├── AlegreyaSC-Regular.woff2 │ │ │ │ ├── AlegreyaSans-Black.woff │ │ │ │ ├── AlegreyaSans-Black.woff2 │ │ │ │ ├── AlegreyaSans-Bold.woff │ │ │ │ ├── AlegreyaSans-Bold.woff2 │ │ │ │ ├── AlegreyaSans-Italic.woff │ │ │ │ ├── AlegreyaSans-Light.woff │ │ │ │ ├── AlegreyaSans-Light.woff2 │ │ │ │ ├── AlegreyaSans-Medium.woff │ │ │ │ ├── AlegreyaSans-Thin.woff │ │ │ │ ├── AlegreyaSans-Thin.woff2 │ │ │ │ ├── AlegreyaSansSC-Bold.woff │ │ │ │ ├── AlegreyaSansSC-Thin.woff │ │ │ │ ├── ubuntumono-regular.woff │ │ │ │ ├── ubuntumono-regular.woff2 │ │ │ │ ├── Alegreya-BlackItalic.woff │ │ │ │ ├── Alegreya-BlackItalic.woff2 │ │ │ │ ├── Alegreya-BoldItalic.woff2 │ │ │ │ ├── Alegreya-MediumItalic.woff │ │ │ │ ├── AlegreyaSC-BoldItalic.woff │ │ │ │ ├── AlegreyaSC-ExtraBold.woff │ │ │ │ ├── AlegreyaSC-ExtraBold.woff2 │ │ │ │ ├── AlegreyaSans-Italic.woff2 │ │ │ │ ├── AlegreyaSans-Medium.woff2 │ │ │ │ ├── AlegreyaSans-Regular.woff │ │ │ │ ├── AlegreyaSans-Regular.woff2 │ │ │ │ ├── AlegreyaSansSC-Black.woff │ │ │ │ ├── AlegreyaSansSC-Black.woff2 │ │ │ │ ├── AlegreyaSansSC-Bold.woff2 │ │ │ │ ├── AlegreyaSansSC-Italic.woff │ │ │ │ ├── AlegreyaSansSC-Light.woff │ │ │ │ ├── AlegreyaSansSC-Light.woff2 │ │ │ │ ├── AlegreyaSansSC-Medium.woff │ │ │ │ ├── AlegreyaSansSC-Thin.woff2 │ │ │ │ ├── Alegreya-ExtraBoldItalic.woff │ │ │ │ ├── Alegreya-MediumItalic.woff2 │ │ │ │ ├── AlegreyaSC-BlackItalic.woff │ │ │ │ ├── AlegreyaSC-BlackItalic.woff2 │ │ │ │ ├── AlegreyaSC-BoldItalic.woff2 │ │ │ │ ├── AlegreyaSC-MediumItalic.woff │ │ │ │ ├── AlegreyaSC-MediumItalic.woff2 │ │ │ │ ├── AlegreyaSans-BlackItalic.woff │ │ │ │ ├── AlegreyaSans-BoldItalic.woff │ │ │ │ ├── AlegreyaSans-BoldItalic.woff2 │ │ │ │ ├── AlegreyaSans-ExtraBold.woff │ │ │ │ ├── AlegreyaSans-ExtraBold.woff2 │ │ │ │ ├── AlegreyaSans-LightItalic.woff │ │ │ │ ├── AlegreyaSans-ThinItalic.woff │ │ │ │ ├── AlegreyaSans-ThinItalic.woff2 │ │ │ │ ├── AlegreyaSansSC-ExtraBold.woff │ │ │ │ ├── AlegreyaSansSC-Italic.woff2 │ │ │ │ ├── AlegreyaSansSC-Medium.woff2 │ │ │ │ ├── AlegreyaSansSC-Regular.woff │ │ │ │ ├── AlegreyaSansSC-Regular.woff2 │ │ │ │ ├── ubuntumono-bold-italic.woff │ │ │ │ ├── ubuntumono-bold-italic.woff2 │ │ │ │ ├── Alegreya-ExtraBoldItalic.woff2 │ │ │ │ ├── AlegreyaSC-ExtraBoldItalic.woff │ │ │ │ ├── AlegreyaSans-BlackItalic.woff2 │ │ │ │ ├── AlegreyaSans-LightItalic.woff2 │ │ │ │ ├── AlegreyaSans-MediumItalic.woff │ │ │ │ ├── AlegreyaSans-MediumItalic.woff2 │ │ │ │ ├── AlegreyaSansSC-BlackItalic.woff │ │ │ │ ├── AlegreyaSansSC-BoldItalic.woff │ │ │ │ ├── AlegreyaSansSC-BoldItalic.woff2 │ │ │ │ ├── AlegreyaSansSC-ExtraBold.woff2 │ │ │ │ ├── AlegreyaSansSC-LightItalic.woff │ │ │ │ ├── AlegreyaSansSC-ThinItalic.woff │ │ │ │ ├── AlegreyaSansSC-ThinItalic.woff2 │ │ │ │ ├── ubuntumono-regular-italic.woff │ │ │ │ ├── ubuntumono-regular-italic.woff2 │ │ │ │ ├── AlegreyaSC-ExtraBoldItalic.woff2 │ │ │ │ ├── AlegreyaSans-ExtraBoldItalic.woff │ │ │ │ ├── AlegreyaSans-ExtraBoldItalic.woff2 │ │ │ │ ├── AlegreyaSansSC-BlackItalic.woff2 │ │ │ │ ├── AlegreyaSansSC-LightItalic.woff2 │ │ │ │ ├── AlegreyaSansSC-MediumItalic.woff │ │ │ │ ├── AlegreyaSansSC-MediumItalic.woff2 │ │ │ │ ├── AlegreyaSansSC-ExtraBoldItalic.woff │ │ │ │ ├── AlegreyaSansSC-ExtraBoldItalic.woff2 │ │ │ │ └── Alegreya-AUTHORS.txt │ │ └── catalogue-v1 │ │ │ ├── wut │ │ │ ├── x1.labels0.png │ │ │ ├── x2.labels0.png │ │ │ ├── x2.labels1.png │ │ │ ├── x3.labels0.png │ │ │ ├── x3.labels1.png │ │ │ ├── z1.labels0.png │ │ │ ├── z2.labels0.png │ │ │ ├── z3.labels0.png │ │ │ ├── cross.labels0.png │ │ │ ├── graph.labels0.png │ │ │ ├── mk1.labels0.png │ │ │ ├── mk2.labels0.png │ │ │ ├── mk3.labels0.png │ │ │ ├── mk4.labels0.png │ │ │ ├── smile.labels0.png │ │ │ ├── smile.labels1.png │ │ │ ├── circles.labels0.png │ │ │ ├── olympic.labels0.png │ │ │ ├── stripes.labels0.png │ │ │ ├── windows.labels0.png │ │ │ ├── isolation.labels0.png │ │ │ ├── labirynth.labels0.png │ │ │ ├── trajectories.labels0.png │ │ │ ├── twosplashes.labels0.png │ │ │ ├── trapped_lovers.labels0.png │ │ │ ├── x1.txt │ │ │ ├── z1.txt │ │ │ ├── z2.txt │ │ │ ├── z3.txt │ │ │ ├── cross.txt │ │ │ ├── twosplashes.txt │ │ │ ├── smile.txt │ │ │ ├── x2.txt │ │ │ ├── x3.txt │ │ │ ├── mk1.txt │ │ │ ├── mk2.txt │ │ │ ├── mk3.txt │ │ │ ├── mk4.txt │ │ │ └── olympic.txt │ │ │ ├── fcps │ │ │ ├── atom.labels0.png │ │ │ ├── lsun.labels0.png │ │ │ ├── hepta.labels0.png │ │ │ ├── target.labels0.png │ │ │ ├── target.labels1.png │ │ │ ├── tetra.labels0.png │ │ │ ├── chainlink.labels0.png │ │ │ ├── engytime.labels0.png │ │ │ ├── engytime.labels1.png │ │ │ ├── wingnut.labels0.png │ │ │ └── twodiamonds.labels0.png │ │ │ ├── sipu │ │ │ ├── a1.labels0.png │ │ │ ├── a2.labels0.png │ │ │ ├── a3.labels0.png │ │ │ ├── d31.labels0.png │ │ │ ├── jain.labels0.png │ │ │ ├── r15.labels0.png │ │ │ ├── r15.labels1.png │ │ │ ├── r15.labels2.png │ │ │ ├── s1.labels0.png │ │ │ ├── s2.labels0.png │ │ │ ├── s3.labels0.png │ │ │ ├── s4.labels0.png │ │ │ ├── birch1.labels0.png │ │ │ ├── birch2.labels0.png │ │ │ ├── flame.labels0.png │ │ │ ├── flame.labels1.png │ │ │ ├── spiral.labels0.png │ │ │ ├── compound.labels0.png │ │ │ ├── compound.labels1.png │ │ │ ├── compound.labels2.png │ │ │ ├── compound.labels3.png │ │ │ ├── compound.labels4.png │ │ │ ├── pathbased.labels0.png │ │ │ ├── pathbased.labels1.png │ │ │ ├── unbalance.labels0.png │ │ │ ├── worms_2.labels0.png │ │ │ ├── aggregation.labels0.png │ │ │ ├── jain.txt │ │ │ └── spiral.txt │ │ │ ├── graves │ │ │ ├── line.labels0.png │ │ │ ├── ring.labels0.png │ │ │ ├── dense.labels0.png │ │ │ ├── fuzzyx.labels0.png │ │ │ ├── fuzzyx.labels1.png │ │ │ ├── fuzzyx.labels2.png │ │ │ ├── fuzzyx.labels3.png │ │ │ ├── fuzzyx.labels4.png │ │ │ ├── zigzag.labels0.png │ │ │ ├── zigzag.labels1.png │ │ │ ├── parabolic.labels0.png │ │ │ ├── parabolic.labels1.png │ │ │ ├── ring_noisy.labels0.png │ │ │ ├── zigzag_noisy.labels0.png │ │ │ ├── zigzag_noisy.labels1.png │ │ │ ├── ring_outliers.labels0.png │ │ │ ├── ring_outliers.labels1.png │ │ │ ├── zigzag_outliers.labels0.png │ │ │ └── zigzag_outliers.labels1.png │ │ │ ├── g2mg │ │ │ ├── g2mg_1_10.labels0.png │ │ │ ├── g2mg_1_10.labels1.png │ │ │ ├── g2mg_1_20.labels0.png │ │ │ ├── g2mg_1_20.labels1.png │ │ │ ├── g2mg_1_30.labels0.png │ │ │ ├── g2mg_1_30.labels1.png │ │ │ ├── g2mg_1_40.labels0.png │ │ │ ├── g2mg_1_40.labels1.png │ │ │ ├── g2mg_1_50.labels0.png │ │ │ ├── g2mg_1_50.labels1.png │ │ │ ├── g2mg_1_60.labels0.png │ │ │ ├── g2mg_1_60.labels1.png │ │ │ ├── g2mg_1_70.labels0.png │ │ │ ├── g2mg_1_70.labels1.png │ │ │ ├── g2mg_1_80.labels0.png │ │ │ ├── g2mg_1_80.labels1.png │ │ │ ├── g2mg_1_90.labels0.png │ │ │ ├── g2mg_1_90.labels1.png │ │ │ ├── g2mg_2_10.labels0.png │ │ │ ├── g2mg_2_10.labels1.png │ │ │ ├── g2mg_2_20.labels0.png │ │ │ ├── g2mg_2_20.labels1.png │ │ │ ├── g2mg_2_30.labels0.png │ │ │ ├── g2mg_2_30.labels1.png │ │ │ ├── g2mg_2_40.labels0.png │ │ │ ├── g2mg_2_40.labels1.png │ │ │ ├── g2mg_2_50.labels0.png │ │ │ ├── g2mg_2_50.labels1.png │ │ │ ├── g2mg_2_60.labels0.png │ │ │ ├── g2mg_2_60.labels1.png │ │ │ ├── g2mg_2_70.labels0.png │ │ │ ├── g2mg_2_70.labels1.png │ │ │ ├── g2mg_2_80.labels0.png │ │ │ ├── g2mg_2_80.labels1.png │ │ │ ├── g2mg_2_90.labels0.png │ │ │ └── g2mg_2_90.labels1.png │ │ │ ├── h2mg │ │ │ ├── h2mg_1_10.labels0.png │ │ │ ├── h2mg_1_10.labels1.png │ │ │ ├── h2mg_1_20.labels0.png │ │ │ ├── h2mg_1_20.labels1.png │ │ │ ├── h2mg_1_30.labels0.png │ │ │ ├── h2mg_1_30.labels1.png │ │ │ ├── h2mg_1_40.labels0.png │ │ │ ├── h2mg_1_40.labels1.png │ │ │ ├── h2mg_1_50.labels0.png │ │ │ ├── h2mg_1_50.labels1.png │ │ │ ├── h2mg_1_60.labels0.png │ │ │ ├── h2mg_1_60.labels1.png │ │ │ ├── h2mg_1_70.labels0.png │ │ │ ├── h2mg_1_70.labels1.png │ │ │ ├── h2mg_1_80.labels0.png │ │ │ ├── h2mg_1_80.labels1.png │ │ │ ├── h2mg_1_90.labels0.png │ │ │ ├── h2mg_1_90.labels1.png │ │ │ ├── h2mg_2_10.labels0.png │ │ │ ├── h2mg_2_10.labels1.png │ │ │ ├── h2mg_2_20.labels0.png │ │ │ ├── h2mg_2_20.labels1.png │ │ │ ├── h2mg_2_30.labels0.png │ │ │ ├── h2mg_2_30.labels1.png │ │ │ ├── h2mg_2_40.labels0.png │ │ │ ├── h2mg_2_40.labels1.png │ │ │ ├── h2mg_2_50.labels0.png │ │ │ ├── h2mg_2_50.labels1.png │ │ │ ├── h2mg_2_60.labels0.png │ │ │ ├── h2mg_2_60.labels1.png │ │ │ ├── h2mg_2_70.labels0.png │ │ │ ├── h2mg_2_70.labels1.png │ │ │ ├── h2mg_2_80.labels0.png │ │ │ ├── h2mg_2_80.labels1.png │ │ │ ├── h2mg_2_90.labels0.png │ │ │ └── h2mg_2_90.labels1.png │ │ │ ├── other │ │ │ ├── hdbscan.labels0.png │ │ │ ├── square.labels0.png │ │ │ ├── chameleon_t4_8k.labels0.png │ │ │ ├── chameleon_t5_8k.labels0.png │ │ │ ├── chameleon_t8_8k.labels0.png │ │ │ ├── chameleon_t7_10k.labels0.png │ │ │ └── square.txt │ │ │ ├── uci │ │ │ ├── wine.txt │ │ │ ├── ecoli.txt │ │ │ ├── yeast.txt │ │ │ ├── ionosphere.txt │ │ │ ├── glass.txt │ │ │ ├── statlog.txt │ │ │ ├── wdbc.txt │ │ │ └── sonar.txt │ │ │ └── mnist │ │ │ └── digits.txt │ ├── weave │ │ ├── .gitignore │ │ ├── many-partitions-figures │ │ │ ├── many-paritions-1.pdf │ │ │ ├── many-paritions-1.png │ │ │ ├── many-partitions-1.pdf │ │ │ ├── many-partitions-1.png │ │ │ ├── many-partitions-3-3.pdf │ │ │ ├── many-partitions-3-3.png │ │ │ ├── many-partitions-3-4.pdf │ │ │ ├── many-partitions-3-4.png │ │ │ ├── many-partitions-3-5.pdf │ │ │ ├── many-partitions-3-5.png │ │ │ ├── many-paritions-genie-3.pdf │ │ │ ├── many-paritions-genie-3.png │ │ │ ├── many-paritions-genie-4.pdf │ │ │ ├── many-paritions-genie-4.png │ │ │ ├── many-paritions-genie-5.pdf │ │ │ ├── many-paritions-genie-5.png │ │ │ ├── many-partitions-genie-3.pdf │ │ │ ├── many-partitions-genie-3.png │ │ │ ├── partition-similarity-example-noise-1.pdf │ │ │ └── partition-similarity-example-noise-1.png │ │ ├── clustbench-usage-figures │ │ │ ├── clustbench-usage-11-5.pdf │ │ │ ├── clustbench-usage-11-5.png │ │ │ ├── clustbench-usage-7-1.pdf │ │ │ ├── clustbench-usage-7-1.png │ │ │ ├── using-clustbench-example1-1.pdf │ │ │ ├── using-clustbench-example1-1.png │ │ │ ├── using-clustbench-example2-3.pdf │ │ │ ├── using-clustbench-example2-3.png │ │ │ ├── using-clustbench-example3-5.pdf │ │ │ └── using-clustbench-example3-5.png │ │ ├── noise-points-figures │ │ │ ├── partition-similarity-noise-data-1.pdf │ │ │ ├── partition-similarity-noise-data-1.png │ │ │ ├── partition-similarity-example-noise-1.pdf │ │ │ ├── partition-similarity-example-noise-1.png │ │ │ ├── partition-similarity-noise-genie-3.pdf │ │ │ └── partition-similarity-noise-genie-3.png │ │ ├── true-vs-predicted-figures │ │ │ ├── partition-similarity-example-2-1.pdf │ │ │ ├── partition-similarity-example-2-1.png │ │ │ ├── partition-similarity-example-2b-1.pdf │ │ │ ├── partition-similarity-example-2b-1.png │ │ │ ├── partition-similarity-example-2b-3.pdf │ │ │ └── partition-similarity-example-2b-3.png │ │ └── external-validity-measures-figures │ │ │ ├── partition-similarity-example-4-1.pdf │ │ │ └── partition-similarity-example-4-1.png │ ├── _templates │ │ └── sidebar │ │ │ └── ethical-ads.html │ └── fix-html.sh ├── CNAME.tpl ├── pypi_howto.md └── pytest │ └── test_score.py ├── setup.cfg ├── MANIFEST.in ├── requirements.txt └── CODE_OF_CONDUCT.md /.nojekyll: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /docs/.nojekyll: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /docs/_static/proof.css: -------------------------------------------------------------------------------- 1 | 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Gagolewski. `0` denotes the noise class (if present) 4 | 5 | 6 | Gagolewski M., A framework for benchmarking clustering algorithms, 7 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 8 | URL: . 9 | 10 | -------------------------------------------------------------------------------- /docs/_static/css/fonts/Alegreya-AUTHORS.txt: -------------------------------------------------------------------------------- 1 | # This is the official list of project authors for copyright purposes. 2 | # This file is distinct from the CONTRIBUTORS.txt file. 3 | # See the latter for an explanation. 4 | # 5 | # Names should be added to this file as: 6 | # Name or Organization 7 | 8 | Juan Pablo del Peral -------------------------------------------------------------------------------- /.devel/pypi_howto.md: -------------------------------------------------------------------------------- 1 | Versions: 2 | 3 | 1.0.9.9001 # development release 4 | 1.1.0 # major release 5 | 6 | 7 | # source distribution + platform-less wheels: 8 | 9 | ``` 10 | rm -f dist/* 11 | python3 setup.py sdist 12 | pip3 wheel -w dist . --no-deps #pip3 install wheel 13 | ``` 14 | 15 | # upload to pypi: 16 | 17 | ``` 18 | twine upload dist/* 19 | ``` 20 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/other/square.txt: -------------------------------------------------------------------------------- 1 | Source: 2 | 3 | `labels0` generated by M. Gagolewski. `0` denotes the noise class (if present) 4 | 5 | 6 | Gagolewski M., A framework for benchmarking clustering algorithms, 7 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 8 | URL: . 9 | 10 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/css/fonts/Alegreya-AUTHORS.txt: -------------------------------------------------------------------------------- 1 | # This is the official list of project authors for copyright purposes. 2 | # This file is distinct from the CONTRIBUTORS.txt file. 3 | # See the latter for an explanation. 4 | # 5 | # Names should be added to this file as: 6 | # Name or Organization 7 | 8 | Juan Pablo del Peral -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/uci/ecoli.txt: -------------------------------------------------------------------------------- 1 | Ecoli 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/Ecoli 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/uci/wine.txt: -------------------------------------------------------------------------------- 1 | Wine 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/wine 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/uci/yeast.txt: -------------------------------------------------------------------------------- 1 | Yeast 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/Yeast 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/uci/wine.txt: -------------------------------------------------------------------------------- 1 | Wine 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/wine 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/uci/ecoli.txt: -------------------------------------------------------------------------------- 1 | Ecoli 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/Ecoli 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/uci/yeast.txt: -------------------------------------------------------------------------------- 1 | Yeast 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/Yeast 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/uci/ionosphere.txt: -------------------------------------------------------------------------------- 1 | Ionosphere 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/Ionosphere 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/wut/x1.txt: -------------------------------------------------------------------------------- 1 | Author: Eliza Kaczorek (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author herself. 4 | `0` denotes the noise class (if present). 5 | 6 | 7 | Gagolewski M., A framework for benchmarking clustering algorithms, 8 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 9 | URL: . 10 | 11 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/wut/z1.txt: -------------------------------------------------------------------------------- 1 | Author: Anna Gierlak (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author herself. 4 | `0` denotes the noise class (if present). 5 | 6 | 7 | Gagolewski M., A framework for benchmarking clustering algorithms, 8 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 9 | URL: . 10 | 11 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/wut/z2.txt: -------------------------------------------------------------------------------- 1 | Author: Anna Gierlak (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author herself. 4 | `0` denotes the noise class (if present). 5 | 6 | 7 | Gagolewski M., A framework for benchmarking clustering algorithms, 8 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 9 | URL: . 10 | 11 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/wut/z3.txt: -------------------------------------------------------------------------------- 1 | Author: Anna Gierlak (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author herself. 4 | `0` denotes the noise class (if present). 5 | 6 | 7 | Gagolewski M., A framework for benchmarking clustering algorithms, 8 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 9 | URL: . 10 | 11 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/uci/ionosphere.txt: -------------------------------------------------------------------------------- 1 | Ionosphere 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/Ionosphere 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/wut/x1.txt: -------------------------------------------------------------------------------- 1 | Author: Eliza Kaczorek (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author herself. 4 | `0` denotes the noise class (if present). 5 | 6 | 7 | Gagolewski M., A framework for benchmarking clustering algorithms, 8 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 9 | URL: . 10 | 11 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/wut/z1.txt: -------------------------------------------------------------------------------- 1 | Author: Anna Gierlak (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author herself. 4 | `0` denotes the noise class (if present). 5 | 6 | 7 | Gagolewski M., A framework for benchmarking clustering algorithms, 8 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 9 | URL: . 10 | 11 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/wut/z2.txt: -------------------------------------------------------------------------------- 1 | Author: Anna Gierlak (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author herself. 4 | `0` denotes the noise class (if present). 5 | 6 | 7 | Gagolewski M., A framework for benchmarking clustering algorithms, 8 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 9 | URL: . 10 | 11 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/wut/z3.txt: -------------------------------------------------------------------------------- 1 | Author: Anna Gierlak (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author herself. 4 | `0` denotes the noise class (if present). 5 | 6 | 7 | Gagolewski M., A framework for benchmarking clustering algorithms, 8 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 9 | URL: . 10 | 11 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/wut/cross.txt: -------------------------------------------------------------------------------- 1 | Author: Przemysław Kosewski (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author himself. 4 | `0` denotes the noise class (if present). 5 | 6 | 7 | Gagolewski M., A framework for benchmarking clustering algorithms, 8 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 9 | URL: . 10 | 11 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/wut/twosplashes.txt: -------------------------------------------------------------------------------- 1 | Author: Jędrzej Krauze (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author himself. 4 | `0` denotes the noise class (if present). 5 | 6 | 7 | Gagolewski M., A framework for benchmarking clustering algorithms, 8 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 9 | URL: . 10 | 11 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/uci/glass.txt: -------------------------------------------------------------------------------- 1 | Glass Identification 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/glass+identification 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /docs/_static/documentation_options.js: -------------------------------------------------------------------------------- 1 | const DOCUMENTATION_OPTIONS = { 2 | VERSION: '1.1.6', 3 | LANGUAGE: 'en', 4 | COLLAPSE_INDEX: false, 5 | BUILDER: 'html', 6 | FILE_SUFFIX: '.html', 7 | LINK_SUFFIX: '.html', 8 | HAS_SOURCE: true, 9 | SOURCELINK_SUFFIX: '.txt', 10 | NAVIGATION_WITH_KEYS: false, 11 | SHOW_SEARCH_SUMMARY: true, 12 | ENABLE_SEARCH_SHORTCUTS: true, 13 | }; -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/wut/cross.txt: -------------------------------------------------------------------------------- 1 | Author: Przemysław Kosewski (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author himself. 4 | `0` denotes the noise class (if present). 5 | 6 | 7 | Gagolewski M., A framework for benchmarking clustering algorithms, 8 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 9 | URL: . 10 | 11 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/wut/twosplashes.txt: -------------------------------------------------------------------------------- 1 | Author: Jędrzej Krauze (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author himself. 4 | `0` denotes the noise class (if present). 5 | 6 | 7 | Gagolewski M., A framework for benchmarking clustering algorithms, 8 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 9 | URL: . 10 | 11 | -------------------------------------------------------------------------------- /docs/_static/plot_directive.css: -------------------------------------------------------------------------------- 1 | /* 2 | * plot_directive.css 3 | * ~~~~~~~~~~~~ 4 | * 5 | * Stylesheet controlling images created using the `plot` directive within 6 | * Sphinx. 7 | * 8 | * :copyright: Copyright 2020-* by the Matplotlib development team. 9 | * :license: Matplotlib, see LICENSE for details. 10 | * 11 | */ 12 | 13 | img.plot-directive { 14 | border: 0; 15 | max-width: 100%; 16 | } 17 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/uci/glass.txt: -------------------------------------------------------------------------------- 1 | Glass Identification 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/glass+identification 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/uci/statlog.txt: -------------------------------------------------------------------------------- 1 | Statlog (Image Segmentation) 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/Statlog+(Image+Segmentation) 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /CODE_OF_CONDUCT.md: -------------------------------------------------------------------------------- 1 | # Code of Conduct 2 | 3 | This is a project conveyed in its authors' free time. It is their little 4 | act of charity to make this world an (even) better place. 5 | It will most likely pass unnoticed, but if you happen to find it useful, 6 | informative, amusing, or stimulating, we're happy for you. 7 | 8 | All nice contributions/comments/remarks are welcome. 9 | 10 | Please spread the news about this project. 11 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/uci/statlog.txt: -------------------------------------------------------------------------------- 1 | Statlog (Image Segmentation) 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/Statlog+(Image+Segmentation) 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/uci/wdbc.txt: -------------------------------------------------------------------------------- 1 | Breast Cancer Wisconsin (Diagnostic) 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic) 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/wut/smile.txt: -------------------------------------------------------------------------------- 1 | Author: Przemyslaw Kosewski (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author himself. 4 | `labels1` generated by M. Gagolewski. 5 | `0` denotes the noise class (if present). 6 | 7 | 8 | Gagolewski M., A framework for benchmarking clustering algorithms, 9 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 10 | URL: . 11 | 12 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/wut/x2.txt: -------------------------------------------------------------------------------- 1 | Author: Eliza Kaczorek (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author herself. 4 | `labels1` were generated by Marek Gagolewski. 5 | `0` denotes the noise class (if present). 6 | 7 | 8 | Gagolewski M., A framework for benchmarking clustering algorithms, 9 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 10 | URL: . 11 | 12 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/wut/x3.txt: -------------------------------------------------------------------------------- 1 | Author: Eliza Kaczorek (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author herself. 4 | `labels1` were generated by Marek Gagolewski. 5 | `0` denotes the noise class (if present). 6 | 7 | 8 | Gagolewski M., A framework for benchmarking clustering algorithms, 9 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 10 | URL: . 11 | 12 | -------------------------------------------------------------------------------- /.devel/pytest/test_score.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | import genieclust 3 | import clustbench 4 | 5 | # more tests in sphinx/weave! 6 | 7 | def test_score(): 8 | n = 10000 9 | k = 5 10 | y1 = np.random.randint(1, k, n) 11 | y2 = np.random.randint(1, k, n) 12 | assert genieclust.compare_partitions.normalized_clustering_accuracy(y1, y2) == clustbench.get_score(y1, y2) 13 | 14 | 15 | if __name__ == "__main__": 16 | test_score() 17 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/uci/wdbc.txt: -------------------------------------------------------------------------------- 1 | Breast Cancer Wisconsin (Diagnostic) 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic) 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/wut/smile.txt: -------------------------------------------------------------------------------- 1 | Author: Przemyslaw Kosewski (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author himself. 4 | `labels1` generated by M. Gagolewski. 5 | `0` denotes the noise class (if present). 6 | 7 | 8 | Gagolewski M., A framework for benchmarking clustering algorithms, 9 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 10 | URL: . 11 | 12 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/wut/x2.txt: -------------------------------------------------------------------------------- 1 | Author: Eliza Kaczorek (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author herself. 4 | `labels1` were generated by Marek Gagolewski. 5 | `0` denotes the noise class (if present). 6 | 7 | 8 | Gagolewski M., A framework for benchmarking clustering algorithms, 9 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 10 | URL: . 11 | 12 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/wut/x3.txt: -------------------------------------------------------------------------------- 1 | Author: Eliza Kaczorek (Warsaw University of Technology) 2 | 3 | `labels0` come from the Author herself. 4 | `labels1` were generated by Marek Gagolewski. 5 | `0` denotes the noise class (if present). 6 | 7 | 8 | Gagolewski M., A framework for benchmarking clustering algorithms, 9 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 10 | URL: . 11 | 12 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/uci/sonar.txt: -------------------------------------------------------------------------------- 1 | Connectionist Bench (Sonar, Mines vs. Rocks) 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/Connectionist+Bench+(Sonar,+Mines+vs.+Rocks) 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/uci/sonar.txt: -------------------------------------------------------------------------------- 1 | Connectionist Bench (Sonar, Mines vs. Rocks) 2 | 3 | More information: https://archive.ics.uci.edu/ml/datasets/Connectionist+Bench+(Sonar,+Mines+vs.+Rocks) 4 | 5 | Please cite as: 6 | Dua, D. and Graff, C. (2019). UCI Machine Learning Repository 7 | [http://archive.ics.uci.edu/ml]. 8 | Irvine, CA: University of California, School of Information and Computer Science. 9 | 10 | `labels0` come from the author(s). 11 | 12 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/mnist/digits.txt: -------------------------------------------------------------------------------- 1 | THE MNIST DATABASE of handwritten digits 2 | -- train and test samples combined 3 | 4 | Based on datasets provided by NIST 5 | 6 | 7 | Preprocessed/remixed by: Y. LeCun, C. Cortes, and C.J.C. Burges 8 | 9 | Originally available from: 10 | 11 | See: 12 | 13 | `labels0` come from the authors. 14 | 15 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/mnist/digits.txt: -------------------------------------------------------------------------------- 1 | THE MNIST DATABASE of handwritten digits 2 | -- train and test samples combined 3 | 4 | Based on datasets provided by NIST 5 | 6 | 7 | Preprocessed/remixed by: Y. LeCun, C. Cortes, and C.J.C. Burges 8 | 9 | Originally available from: 10 | 11 | See: 12 | 13 | `labels0` come from the authors. 14 | 15 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/sipu/jain.txt: -------------------------------------------------------------------------------- 1 | Source: A. Jain, M. Law, Data clustering: A user’s dilemma, 2 | Lecture Notes in Computer Science 3776, 2005, pp. 1-10. 3 | 4 | Web: https://cs.joensuu.fi/sipu/datasets/ 5 | 6 | `labels0` come from the Authors. `0` denotes the noise class (if present). 7 | 8 | 9 | Gagolewski M., A framework for benchmarking clustering algorithms, 10 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 11 | URL: . 12 | 13 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/sipu/spiral.txt: -------------------------------------------------------------------------------- 1 | Source: H. Chang, D.Y. Yeung, Robust path-based spectral clustering, 2 | Pattern Recognition 41(1), 2008, pp. 191-203. 3 | 4 | Web: https://cs.joensuu.fi/sipu/datasets/ 5 | 6 | `labels0` come from the Authors. `0` denotes the noise class (if present). 7 | 8 | 9 | Gagolewski M., A framework for benchmarking clustering algorithms, 10 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 11 | URL: . 12 | 13 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/wut/mk1.txt: -------------------------------------------------------------------------------- 1 | Author: Mateusz Kobyłka (Warsaw University of Technology) 2 | 3 | Copyleft 2019 4 | Licensed under the Creative Commons Attribution 4.0 International License. 5 | see https://creativecommons.org/licenses/by/4.0/ 6 | 7 | `labels0` come from the Author himself. 8 | 9 | 10 | Gagolewski M., A framework for benchmarking clustering algorithms, 11 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 12 | URL: . 13 | 14 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/wut/mk2.txt: -------------------------------------------------------------------------------- 1 | Author: Mateusz Kobyłka (Warsaw University of Technology) 2 | 3 | Copyleft 2019 4 | Licensed under the Creative Commons Attribution 4.0 International License. 5 | see https://creativecommons.org/licenses/by/4.0/ 6 | 7 | `labels0` come from the Author himself. 8 | 9 | 10 | Gagolewski M., A framework for benchmarking clustering algorithms, 11 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 12 | URL: . 13 | 14 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/wut/mk3.txt: -------------------------------------------------------------------------------- 1 | Author: Mateusz Kobyłka (Warsaw University of Technology) 2 | 3 | Copyleft 2019 4 | Licensed under the Creative Commons Attribution 4.0 International License. 5 | see https://creativecommons.org/licenses/by/4.0/ 6 | 7 | `labels0` come from the Author himself. 8 | 9 | 10 | Gagolewski M., A framework for benchmarking clustering algorithms, 11 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 12 | URL: . 13 | 14 | -------------------------------------------------------------------------------- /docs/_static/catalogue-v1/wut/mk4.txt: -------------------------------------------------------------------------------- 1 | Author: Mateusz Kobyłka (Warsaw University of Technology) 2 | 3 | Copyleft 2019 4 | Licensed under the Creative Commons Attribution 4.0 International License. 5 | see https://creativecommons.org/licenses/by/4.0/ 6 | 7 | `labels0` come from the Author himself. 8 | 9 | 10 | Gagolewski M., A framework for benchmarking clustering algorithms, 11 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 12 | URL: . 13 | 14 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/sipu/jain.txt: -------------------------------------------------------------------------------- 1 | Source: A. Jain, M. Law, Data clustering: A user’s dilemma, 2 | Lecture Notes in Computer Science 3776, 2005, pp. 1-10. 3 | 4 | Web: https://cs.joensuu.fi/sipu/datasets/ 5 | 6 | `labels0` come from the Authors. `0` denotes the noise class (if present). 7 | 8 | 9 | Gagolewski M., A framework for benchmarking clustering algorithms, 10 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 11 | URL: . 12 | 13 | -------------------------------------------------------------------------------- /.devel/sphinx/_static/catalogue-v1/sipu/spiral.txt: -------------------------------------------------------------------------------- 1 | Source: H. Chang, D.Y. Yeung, Robust path-based spectral clustering, 2 | Pattern Recognition 41(1), 2008, pp. 191-203. 3 | 4 | Web: https://cs.joensuu.fi/sipu/datasets/ 5 | 6 | `labels0` come from the Authors. `0` denotes the noise class (if present). 7 | 8 | 9 | Gagolewski M., A framework for benchmarking clustering algorithms, 10 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270. 11 | URL: . 12 | 13 | -------------------------------------------------------------------------------- /.devel/sphinx/fix-html.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | # Copyright (C) 2020-2025, Marek Gagolewski 4 | 5 | set -e 6 | 7 | if [ ! -d "${1}" ]; then 8 | echo "The input directory does not exist or was not provided." 9 | exit 1 10 | fi 11 | 12 | 13 | cd "${1}" 14 | 15 | for f in *.html; do 16 | # merge input and output chunks: 17 | sed -rz --in-place 's/<\/pre><\/div>\n<\/div>\n
//g' "${f}"
18 | done
19 | 


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/.devel/sphinx/_static/catalogue-v1/wut/mk1.txt:
--------------------------------------------------------------------------------
 1 | Author: Mateusz Kobyłka (Warsaw University of Technology)
 2 | 
 3 | Copyleft 2019
 4 | Licensed under the Creative Commons Attribution 4.0 International License.
 5 | see https://creativecommons.org/licenses/by/4.0/
 6 | 
 7 | `labels0` come from the Author himself.
 8 | 
 9 | 
10 | Gagolewski M., A framework for benchmarking clustering algorithms,
11 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270.
12 | URL: .
13 | 
14 | 


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/.devel/sphinx/_static/catalogue-v1/wut/mk2.txt:
--------------------------------------------------------------------------------
 1 | Author: Mateusz Kobyłka (Warsaw University of Technology)
 2 | 
 3 | Copyleft 2019
 4 | Licensed under the Creative Commons Attribution 4.0 International License.
 5 | see https://creativecommons.org/licenses/by/4.0/
 6 | 
 7 | `labels0` come from the Author himself.
 8 | 
 9 | 
10 | Gagolewski M., A framework for benchmarking clustering algorithms,
11 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270.
12 | URL: .
13 | 
14 | 


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/.devel/sphinx/_static/catalogue-v1/wut/mk3.txt:
--------------------------------------------------------------------------------
 1 | Author: Mateusz Kobyłka (Warsaw University of Technology)
 2 | 
 3 | Copyleft 2019
 4 | Licensed under the Creative Commons Attribution 4.0 International License.
 5 | see https://creativecommons.org/licenses/by/4.0/
 6 | 
 7 | `labels0` come from the Author himself.
 8 | 
 9 | 
10 | Gagolewski M., A framework for benchmarking clustering algorithms,
11 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270.
12 | URL: .
13 | 
14 | 


--------------------------------------------------------------------------------
/.devel/sphinx/_static/catalogue-v1/wut/mk4.txt:
--------------------------------------------------------------------------------
 1 | Author: Mateusz Kobyłka (Warsaw University of Technology)
 2 | 
 3 | Copyleft 2019
 4 | Licensed under the Creative Commons Attribution 4.0 International License.
 5 | see https://creativecommons.org/licenses/by/4.0/
 6 | 
 7 | `labels0` come from the Author himself.
 8 | 
 9 | 
10 | Gagolewski M., A framework for benchmarking clustering algorithms,
11 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270.
12 | URL: .
13 | 
14 | 


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/docs/_static/catalogue-v1/wut/olympic.txt:
--------------------------------------------------------------------------------
 1 | Author: Michał Maciąg (Warsaw University of Technology)
 2 | 
 3 | 
 4 | Copyleft 2019
 5 | Licensed under the Creative Commons Attribution 4.0 International License.
 6 | see https://creativecommons.org/licenses/by/4.0/
 7 | 
 8 | `labels0` come from the Author himself.
 9 | 
10 | 
11 | Gagolewski M., A framework for benchmarking clustering algorithms,
12 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270.
13 | URL: .
14 | 
15 | 


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/docs/_static/catalogue-v1/wut/stripes.txt:
--------------------------------------------------------------------------------
 1 | Author: Michał Maciąg (Warsaw University of Technology)
 2 | 
 3 | 
 4 | Copyleft 2019
 5 | Licensed under the Creative Commons Attribution 4.0 International License.
 6 | see https://creativecommons.org/licenses/by/4.0/
 7 | 
 8 | `labels0` come from the Author himself.
 9 | 
10 | 
11 | Gagolewski M., A framework for benchmarking clustering algorithms,
12 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270.
13 | URL: .
14 | 
15 | 


--------------------------------------------------------------------------------
/.devel/sphinx/_static/catalogue-v1/wut/olympic.txt:
--------------------------------------------------------------------------------
 1 | Author: Michał Maciąg (Warsaw University of Technology)
 2 | 
 3 | 
 4 | Copyleft 2019
 5 | Licensed under the Creative Commons Attribution 4.0 International License.
 6 | see https://creativecommons.org/licenses/by/4.0/
 7 | 
 8 | `labels0` come from the Author himself.
 9 | 
10 | 
11 | Gagolewski M., A framework for benchmarking clustering algorithms,
12 | SoftwareX 20:101270, 2022. DOI: 10.1016/j.softx.2022.101270.
13 | URL: .
14 | 
15 | 


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