├── .gitattributes ├── .gitignore ├── DPC-segment ├── DPC-SLIC.txt ├── DPC-SLIC实验报告.docx ├── DPC.m ├── DPC_SLIC.asv ├── DPC_SLIC.m ├── DPC_SLIC_HOG.m ├── PCA_img.m ├── ShowClusterA.m ├── handler_sub_img.m ├── images │ ├── 1-1.jpg │ ├── 1-2.jpg │ ├── 1-3.jpg │ ├── 1-4.jpg │ ├── 1-5.jpg │ ├── 1.jpg │ ├── 2-1.jpg │ ├── 2-2.jpg │ ├── 2-5.jpg │ ├── 2.jpg │ ├── 3.jpg │ ├── 4.jpg │ ├── 5-1-1.jpg │ ├── 5-1-6.jpg │ ├── 5.2.jpg │ ├── 5.21.jpg │ ├── 5.jpg │ ├── 6.jpg │ └── 7.jpg ├── img_val.m ├── normalization.m ├── single_img.m ├── super_pixel.asv ├── super_pixel.m ├── test.m ├── tsne_img.m └── 实验报告.docx ├── Features └── readme.txt ├── README.md ├── algorithm ├── @kde │ ├── Contents.m │ ├── README.txt │ ├── adjustBW.dll │ ├── adjustBW.m │ ├── adjustBW.mexa64 │ ├── adjustBW.mexglx │ ├── adjustBW.mexw64 │ ├── adjustPoints.dll │ ├── adjustPoints.m │ ├── adjustPoints.mexa64 │ ├── adjustPoints.mexglx │ ├── adjustPoints.mexw64 │ ├── adjustWeights.dll │ ├── adjustWeights.m │ ├── adjustWeights.mexa64 │ ├── adjustWeights.mexglx │ ├── adjustWeights.mexw64 │ ├── condition.m │ ├── covar.m │ ├── display.m │ ├── double.m │ ├── encode.m │ ├── entropy.m │ ├── entropyGrad.m │ ├── evalAvgLogL.m │ ├── evalFGT.m │ ├── evalIFGT.m │ ├── evaluate.m │ ├── examples │ │ ├── demo_kde_1.m │ │ ├── demo_kde_2.m │ │ ├── demo_kde_3.m │ │ └── demo_regress.m │ ├── findBWCrit.m │ ├── getBW.m │ ├── getDim.m │ ├── getNeff.m │ ├── getNpts.m │ ├── getPoints.m │ ├── getType.m │ ├── getWeights.m │ ├── gram.m │ ├── hist.m │ ├── ise.m │ ├── joinTrees.m │ ├── kde.m │ ├── klGrad.m │ ├── kld.m │ ├── knn.dll │ ├── knn.m │ ├── knn.mexa64 │ ├── knn.mexglx │ ├── knn.mexw64 │ ├── ksize.m │ ├── license.gpl │ ├── llGrad.dll │ ├── llGrad.m │ ├── llGrad.mexa64 │ ├── llGrad.mexglx │ ├── llGrad.mexw64 │ ├── llHess.m │ ├── marginal.m │ ├── max.m │ ├── maxlogerr.m │ ├── mean.m │ ├── mex │ │ ├── BallTree.cpp │ │ ├── BallTreeDensity.cpp │ │ ├── DualTree.cpp │ │ ├── adjustBW.cpp │ │ ├── adjustPoints.cpp │ │ ├── adjustWeights.cpp │ │ ├── cpp │ │ │ ├── BallTree.h │ │ │ ├── BallTreeClass.cc │ │ │ ├── BallTreeDensity.h │ │ │ ├── BallTreeDensityClass.cc │ │ │ ├── README.txt │ │ │ └── kernels.h │ │ ├── entropyGradISE.cpp │ │ ├── entropyGradRS.cpp │ │ ├── iseEpsilon.cpp │ │ ├── klGradRS.cpp │ │ ├── knn.cpp │ │ ├── llGrad.cpp │ │ ├── makemex.m │ │ ├── maketmp.m │ │ ├── prodSampleEpsilon.cpp │ │ ├── prodSampleExact.cpp │ │ ├── prodSampleGibbs.cpp │ │ ├── prodSampleGibbs1.cpp │ │ ├── prodSampleGibbs2.cpp │ │ ├── prodSampleGibbsMS.cpp │ │ ├── prodSampleGibbsMS1.cpp │ │ ├── prodSampleGibbsMS2.cpp │ │ └── reduceSolve.cpp │ ├── miGrad.m │ ├── modes.m │ ├── plot.m │ ├── private │ │ ├── BallTree.dll │ │ ├── BallTree.mexa64 │ │ ├── BallTree.mexglx │ │ ├── BallTree.mexw64 │ │ ├── BallTreeDensity.dll │ │ ├── BallTreeDensity.mexa64 │ │ ├── BallTreeDensity.mexglx │ │ ├── BallTreeDensity.mexw64 │ │ ├── DualTree.dll │ │ ├── DualTree.m │ │ ├── DualTree.mexa64 │ │ ├── DualTree.mexglx │ │ ├── DualTree.mexw64 │ │ ├── entropyDist.m │ │ ├── entropyGradDist.m │ │ ├── entropyGradISE.dll │ │ ├── entropyGradISE.mexa64 │ │ ├── entropyGradISE.mexglx │ │ ├── entropyGradISE.mexw64 │ │ ├── golden.m │ │ ├── iqr.m │ │ ├── iseEpsilon.dll │ │ ├── iseEpsilon.mexa64 │ │ ├── iseEpsilon.mexglx │ │ ├── iseEpsilon.mexw64 │ │ ├── ksizeCalcUseful.m │ │ ├── ksizeHall.m │ │ ├── ksizeLSCV.m │ │ ├── ksizeMSP.m │ │ ├── ksizeROT.m │ │ ├── prodSampleEpsilon.dll │ │ ├── prodSampleEpsilon.mexa64 │ │ ├── prodSampleEpsilon.mexglx │ │ ├── prodSampleEpsilon.mexw64 │ │ ├── prodSampleExact.dll │ │ ├── prodSampleExact.mexa64 │ │ ├── prodSampleExact.mexglx │ │ ├── prodSampleExact.mexw64 │ │ ├── prodSampleGibbs1.dll │ │ ├── prodSampleGibbs1.mexa64 │ │ ├── prodSampleGibbs1.mexglx │ │ ├── prodSampleGibbs1.mexw64 │ │ ├── prodSampleGibbs2.dll │ │ ├── prodSampleGibbs2.mexa64 │ │ ├── prodSampleGibbs2.mexglx │ │ ├── prodSampleGibbs2.mexw64 │ │ ├── prodSampleGibbsMS1.dll │ │ ├── prodSampleGibbsMS1.mexa64 │ │ ├── prodSampleGibbsMS1.mexglx │ │ ├── prodSampleGibbsMS1.mexw64 │ │ ├── prodSampleGibbsMS2.dll │ │ ├── prodSampleGibbsMS2.mexa64 │ │ ├── prodSampleGibbsMS2.mexglx │ │ ├── prodSampleGibbsMS2.mexw64 │ │ ├── prodSampleImportGauss.m │ │ ├── prodSampleImportMix.m │ │ ├── prodSampleImportPair.m │ │ ├── randKernel.m │ │ ├── reduceKD.m │ │ ├── reduceKD2.m │ │ ├── reduceSolve.dll │ │ ├── reduceSolve.mexa64 │ │ ├── reduceSolve.mexglx │ │ ├── reduceSolve.mexw64 │ │ └── reduceSolveM.m │ ├── productApprox.m │ ├── productExact.m │ ├── quantize.m │ ├── reduce.m │ ├── resample.m │ ├── rescale.m │ └── sample.m ├── AP │ ├── apcluster.m │ ├── apclusterK.m │ ├── apclusterSparse.m │ └── preferenceRange.m ├── DBSCAN.m ├── DBSCAN_2.m ├── DPC.m ├── ShowClusterA.m ├── ShowGrid.m ├── SpectralClustering.m ├── TTT.m ├── akde.m ├── apcluster.m ├── circle.m ├── data │ ├── DPC-S2-2%-GRAPH.jpg │ ├── DPC-S2-2%.jpg │ ├── DPC-S2-4%-GRAPH.jpg │ ├── DPC-S2-4%.jpg │ ├── Frame-DPC-4%-graph.jpg │ └── Frame-DPC-4%.jpg ├── datacells.mat ├── denstity.m ├── grid.jpg ├── imgseg.m ├── k_clique.m ├── km.m ├── license.txt ├── linspecer.m ├── loadMNISTImages.m ├── loadMNISTLabels.m ├── normalization.m ├── waveCluster │ ├── EXAMPLE_USAGE.m │ ├── LICENSE.txt │ ├── ShowClusterA.m │ ├── WaveCluster.m │ ├── WaveCluster_Preprocess.m │ ├── assign_cells.m │ ├── data2grid.m │ ├── dwtN.m │ ├── fold.m │ ├── grid_wavecluster_output.m │ ├── linspecer.m │ ├── swtN.m │ ├── unfold.m │ ├── vol2features.m │ └── wavecluster_example_data.mat └── 实验说明.docx ├── benchmarks ├── Avg_PerpenDist.m ├── ConformityCoefficient.m ├── Dice_Ratio.m ├── Hausdorff_Dist.m ├── Jaccard_Index.m ├── Precision.m ├── Recall.m └── main.m ├── dataset ├── ConfLongDemo_JSI_164860.txt ├── MINST.txt ├── MINST2.txt ├── dim1024.txt ├── dim512.txt ├── iris.data ├── large2d │ ├── MopsiLocations2012-Joensuu.txt │ ├── MopsiLocationsUntil2012-Finland.txt │ ├── Skin_NonSkin.txt │ ├── b1-label.txt │ ├── b3-center.txt │ ├── birch1-lab.txt │ ├── birch2-lab.txt │ ├── birch3.txt │ ├── europediff.txt │ ├── large2d.zip │ ├── magic04.lab.txt │ ├── poker-hand-training-true.data │ ├── s-originals.zip │ ├── s2-lab.txt │ └── t4.8k.txt ├── minst │ ├── train-images-idx3-ubyte.gz │ ├── train-images.idx3-ubyte │ ├── train-labels-idx1-ubyte.gz │ └── train-labels.idx1-ubyte ├── parkinsons.data ├── readme.md ├── seeds_dataset.txt ├── segmentation.data ├── shape │ ├── Aggregation.txt │ ├── Compound.txt │ ├── D31.txt │ ├── R15.txt │ ├── flame.txt │ ├── iris.lab.txt │ ├── jain.txt │ ├── pathbased.txt │ ├── seeds_dataset.txt │ ├── spiral.txt │ ├── t4.8k.txt │ └── userKnowledge.txt └── wine.data ├── dr ├── drmain.m ├── drtoolbox │ ├── Contents.m │ ├── Readme.txt │ ├── compute_mapping.m │ ├── drgui.m │ ├── generate_data.m │ ├── gui │ │ ├── adaptive_callback.m │ │ ├── case1.m │ │ ├── choose_method.fig │ │ ├── choose_method.m │ │ ├── ded.m │ │ ├── drtool.fig │ │ ├── drtool.m │ │ ├── lnst.m │ │ ├── load_data.fig │ │ ├── load_data.m │ │ ├── load_data_1_var.fig │ │ ├── load_data_1_var.m │ │ ├── load_data_vars.fig │ │ ├── load_data_vars.m │ │ ├── load_xls.fig │ │ ├── load_xls.m │ │ ├── mapping_parameters.fig │ │ ├── mapping_parameters.m │ │ ├── no_history.fig │ │ ├── no_history.m │ │ ├── not_calculated.fig │ │ ├── not_calculated.m │ │ ├── not_loaded.fig │ │ ├── not_loaded.m │ │ ├── plot12n.m │ │ ├── plotn.m │ │ ├── scatter12n.m │ │ ├── scattern.m │ │ ├── update_kernel_uipanel.m │ │ └── update_type_uipanel.m │ ├── intrinsic_dim.m │ ├── mexall.m │ ├── out_of_sample.m │ ├── out_of_sample_est.m │ ├── prewhiten.m │ ├── reconstruct_data.m │ ├── techniques │ │ ├── L2_distance.m │ │ ├── backprop.m │ │ ├── backprop_gradient.m │ │ ├── cca.m │ │ ├── cfa.m │ │ ├── cg_update.m │ │ ├── charting.m │ │ ├── checkgrad.m │ │ ├── combn.m │ │ ├── components.m │ │ ├── compute_recon_err.m │ │ ├── computegr.c │ │ ├── computegr.dll │ │ ├── computegr.mexa64 │ │ ├── computegr.mexglx │ │ ├── computegr.mexmaci │ │ ├── computegr.mexmaci64 │ │ ├── csdp.exe │ │ ├── csdp.m │ │ ├── csdplinux │ │ ├── csdpmac │ │ ├── csdpmaci │ │ ├── d2p.m │ │ ├── diffusion_maps.m │ │ ├── dijk.m │ │ ├── dijkstra.cpp │ │ ├── dijkstra.m │ │ ├── dijkstra.mexglx │ │ ├── dijkstra.mexmaci │ │ ├── dijkstra.mexmaci64 │ │ ├── em_pca.m │ │ ├── fa.m │ │ ├── fastmvu.m │ │ ├── fibheap.h │ │ ├── find_nn.c │ │ ├── find_nn.m │ │ ├── find_nn_adaptive.m │ │ ├── gda.m │ │ ├── gplvm.m │ │ ├── gplvm_grad.m │ │ ├── gram.m │ │ ├── hill_obj.m │ │ ├── hillclimber2c.m │ │ ├── hlle.m │ │ ├── infermfa.m │ │ ├── isomap.m │ │ ├── jdqr.m │ │ ├── jdqz.m │ │ ├── kernel_function.c │ │ ├── kernel_function.m │ │ ├── kernel_function.mexmaci │ │ ├── kernel_pca.m │ │ ├── landmark_isomap.m │ │ ├── laplacian_eigen.m │ │ ├── lda.m │ │ ├── llc.m │ │ ├── lle.m │ │ ├── lltsa.m │ │ ├── lmnn.m │ │ ├── lmvu.m │ │ ├── lpp.m │ │ ├── ltsa.m │ │ ├── mcml.m │ │ ├── mcml_grad.m │ │ ├── mds.m │ │ ├── mexCCACollectData.c │ │ ├── mexCCACollectData.dll │ │ ├── mexCCACollectData.mexa64 │ │ ├── mexCCACollectData.mexglx │ │ ├── mexCCACollectData.mexmaci │ │ ├── mexCCACollectData.mexmaci64 │ │ ├── mexCCACollectData2.c │ │ ├── mexCCACollectData2.dll │ │ ├── mexCCACollectData2.mexa64 │ │ ├── mexCCACollectData2.mexglx │ │ ├── mexCCACollectData2.mexmaci │ │ ├── mexCCACollectData2.mexmaci64 │ │ ├── mgs.m │ │ ├── minimize.m │ │ ├── mppca.m │ │ ├── mvu_x.m │ │ ├── mvu_x_grad.m │ │ ├── nca.m │ │ ├── nca_lin_grad.m │ │ ├── npe.m │ │ ├── pca.m │ │ ├── readsol.m │ │ ├── recon_data_from_autoenc.m │ │ ├── roll_out.m │ │ ├── run_data_through_autoenc.m │ │ ├── run_data_through_network.m │ │ ├── run_llc.m │ │ ├── sammon.m │ │ ├── sdecca2.m │ │ ├── sne.m │ │ ├── sparse_nn.m │ │ ├── spe.m │ │ ├── sym_sne.m │ │ ├── train_autoencoder.m │ │ ├── train_deep_autoenc.m │ │ ├── train_grbm.m │ │ ├── train_lin_rbm.m │ │ ├── train_rbm.m │ │ ├── tsne.m │ │ ├── tsne_d.m │ │ ├── tsne_p.m │ │ ├── welcome.m │ │ ├── writesdpa.m │ │ └── x2p.m │ └── test_toolbox.m ├── readme.md ├── readme.txt └── test.m ├── image-segment └── readme.txt ├── 指标说明.txt └── 算法说明.txt /.gitattributes: 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