Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques: Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Sammon mapping Linear Discriminant Analysis (LDA) Multidimensional scaling (MDS) Isomap Landmark Isomap Local Linear Embedding (LLE) Laplacian Eigenmaps Hessian LLE Local Tangent Space Alignment (LTSA) Conformal Eigenmaps (extension of LLE) Maximum Variance Unfolding (extension of LLE) Landmark MVU (LandmarkMVU) Fast Maximum Variance Unfolding (FastMVU) Kernel PCA Generalized Discriminant Analysis (GDA) Diffusion maps Stochastic Neighbor Embedding (SNE) Symmetric SNE (SymSNE) new: t-Distributed Stochastic Neighbor Embedding (t-SNE) Neighborhood Preserving Embedding (NPE) Locality Preserving Projection (LPP) Linear Local Tangent Space Alignment (LLTSA) Stochastic Proximity Embedding (SPE) Mu

._reconstruction_error.m
compute_mapping.m
Contents.m
drgui.m
generate_data.m
intrinsic_dim.m
mexall.m
out_of_sample.m
out_of_sample_est.m
prewhiten.m
reconstruction_error.m
._Readme.txt
Readme.txt
za.txt
降维方法目录.txt
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
...\._not_calculated.fig
...\._not_calculated.m
...\._not_loaded.fig
...\._not_loaded.m
...\._no_history.fig
...\._no_history.m
...\._plot12n.m
...\._plotn.m
...\._scatter12n.m
...\._scattern.m
...\._update_kernel_uipanel.m
...\._update_type_uipanel.m
...\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
...\not_calculated.fig
...\not_calculated.m
...\not_loaded.fig
...\not_loaded.m
...\no_history.fig
...\no_history.m
...\plot12n.m
...\plotn.m
...\scatter12n.m
...\scattern.m
...\update_kernel_uipanel.m
...\update_type_uipanel.m
techniques\._autoencoder_ea.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
..........\._csdp.m
..........\._diffusion_maps.m
..........\._dijk.m
..........\._dijkstra.cpp
..........\._dijkstra.m
..........\._em_pca.m
..........\._fa.m
..........\._fastmvu.m
..........\._find_nn.m
..........\._find_nn_adaptive.m
..........\._gda.m
..........\._gplvm.m
..........\._gplvm_grad.m
..........\._gram.m

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．