This a very useful procedure mainly used for spectral dimension reduction processing by means of PCA, LCA, LLE, Isomap, etc.

techniques\backprop.m
..........\backprop_gradient.m
..........\cca.m
..........\cfa.m
..........\cg_update.m
..........\charting.m
..........\checkgrad.m
..........\combn.m
..........\components.m
..........\computegr.c
..........\computegr.dll
..........\computegr.mexa64
..........\computegr.mexglx
..........\computegr.mexmaci
..........\computegr.mexmaci64
..........\compute_recon_err.m
..........\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
..........\hillclimber2c.m
..........\hill_obj.m
..........\hlle.m
..........\infermfa.m
..........\isomap.m
..........\jdqr.m
..........\jdqz.m
..........\kernel_function.c
..........\kernel_function.m
..........\kernel_function.mexmaci
..........\kernel_pca.m
..........\L2_distance.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

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