Description: Dimensionality reduction kit, including principal component analysis (PCA), Kernel Principal Component Analysis (KPCA) and so on.
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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