Description: 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
To Search:
File list (Check if you may need any files):
._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
Download