├── .circleci └── config.yml ├── .github └── workflows │ ├── codeql.yml │ └── python-package ├── LICENSE ├── PyPi Package ├── .vscode │ └── settings.json ├── LICENSE ├── MANIFEST.in ├── README.md ├── pyproject.toml ├── setup.cfg ├── setup.py └── src │ ├── denmune.egg-info │ ├── PKG-INFO │ ├── SOURCES.txt │ ├── dependency_links.txt │ ├── requires.txt │ └── top_level.txt │ └── denmune │ ├── .idea │ ├── .gitignore │ ├── .name │ ├── denmune.iml │ ├── inspectionProfiles │ │ └── profiles_settings.xml │ ├── misc.xml │ └── modules.xml │ ├── __init__.py │ └── denmune.py ├── README.md ├── codecov.yml ├── colab ├── 2D_shapes_datasets.ipynb ├── Get_97_by_training_MNIST_dataset.ipynb ├── MNIST_dataset.ipynb ├── chameleon_datasets.ipynb ├── clustering_propagation.ipynb ├── clustering_propagation_snapshots.ipynb ├── how_to_use_it.ipynb ├── iris_dataset.ipynb ├── k_nearest_evolution.ipynb ├── noise_detection.ipynb ├── scalability_and_speed.ipynb ├── stability_vs_knn.ipynb ├── training_MNIST.ipynb └── validation.ipynb ├── images ├── denmune-illustration.png └── denmune_propagation.png ├── kaggle ├── beauty-of-propagation-part3.ipynb ├── detecting-non-groundtruth-datasets.ipynb ├── detection-of-2d-shape-datasets.ipynb ├── get-97-using-simple-yet-one-parameter-algorithm.ipynb ├── iris-dataset.ipynb ├── k-nearest-evolution.ipynb ├── noise-detection.ipynb ├── scalability-vs-speed.ipynb ├── stability-vs-number-of-nearest-neighbor.ipynb ├── the-beauty-of-clusters-propagation.ipynb ├── the-beauty-of-propagation-part2.ipynb ├── training-MNIST-dataset-to-get-97.ipynb ├── training-pendigits-dataset-to-get-97.ipynb ├── validation.ipynb └── when-simple-means-powerful.ipynb ├── requirements.txt └── src ├── __init__.py ├── denmune.py └── tests └── test_denmune.py /.circleci/config.yml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/scikit-learn-contrib/denmune-clustering-algorithm/HEAD/.circleci/config.yml 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