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MATLAB_Codes_for_Dimensionality_Reduction

于 2020-08-24 发布 文件大小:866KB
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代码说明:

  数据降维工具箱,包括一些典型算法,例如pca,lle,mds,lda等。(Data dimensionality reduction tool kit, including some typical algorithms, such as the pca, lle, mds, lda, etc..)

文件列表:

MATLAB Codes for Dimensionality Reduction
.........................................\autoencoder.m
.........................................\autoencoder_ea.m
.........................................\backprop.m
.........................................\cca.m
.........................................\cfa.m
.........................................\cg_update.m
.........................................\charting.m
.........................................\components.m
.........................................\computegr.c
.........................................\computegr.dll
.........................................\computegr.mexa64
.........................................\computegr.mexglx
.........................................\computegr.mexmaci
.........................................\compute_mapping.m
.........................................\Contents.m
.........................................\csdp.exe
.........................................\csdp.m
.........................................\csdplinux
.........................................\csdpmac
.........................................\csdpmaci
.........................................\diffusion_maps.m
.........................................\dijk.m
.........................................\dijkstra.cpp
.........................................\dijkstra.dll
.........................................\dijkstra.m
.........................................\dijkstra.mexa64
.........................................\dijkstra.mexglx
.........................................\dijkstra.mexmaci
.........................................\em_pca.m
.........................................\entropy.m
.........................................\fastmvu.m
.........................................\fibheap.h
.........................................\find_nn.c
.........................................\find_nn.m
.........................................\find_nn_adaptive.m
.........................................\gda.m
.........................................\generate_data.m
.........................................\gram.m
.........................................\hillclimber2c.m
.........................................\hill_obj.m
.........................................\hlle.m
.........................................\hs_err_pid1128.log
.........................................\infermfa.m
.........................................\intrinsic_dim.m
.........................................\isomap.m
.........................................\iterative_spca.m
.........................................\jdqr.m
.........................................\jdqz.m
.........................................\kernel_function.m
.........................................\kernel_pca.m
.........................................\L2_distance.m
.........................................\landmark_isomap.m
.........................................\laplacian_eigen.m
.........................................\lda.m
.........................................\llc.m
.........................................\lle.m
.........................................\lltsa.m
.........................................\lpp.m
.........................................\ltsa.m
.........................................\mds.m
.........................................\mexall.m
.........................................\mexCCACollectData.c
.........................................\mexCCACollectData.dll
.........................................\mexCCACollectData.mexa64
.........................................\mexCCACollectData.mexglx
.........................................\mexCCACollectData.mexmaci
.........................................\mexCCACollectData2.c
.........................................\mexCCACollectData2.dll
.........................................\mexCCACollectData2.mexa64
.........................................\mexCCACollectData2.mexglx
.........................................\mexCCACollectData2.mexmaci
.........................................\mgs.m
.........................................\minimize.m
.........................................\mppca.m
.........................................\npe.m
.........................................\out_of_sample.m
.........................................\out_of_sample_est.m
.........................................\pca.m
.........................................\prewhiten.m
.........................................\rbm.m
.........................................\rbmhidlinear.m
.........................................\readsol.m
.........................................\run_llc.m
.........................................\sdecca2.m
.........................................\sne.m
.........................................\sparse_nn.m
.........................................\spca.m
.........................................\spe.m
.........................................\welcome.m
.........................................\writesdpa.m

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