Matlab针对各种数据预处理的降维方法源码集合 - Matlab在线 - matlabol

Matlab针对各种数据预处理的降维方法源码集合我要分享

Matlab for dimension reduction method of data preprocessing source collection

代码描述

中文说明：

Matlab针对各种数据预处理的降维方法，源码集合。

English 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)

代码预览

._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

._Readme.txt

._reconstruction_error.m

compute_mapping.m

Contents.m

drgui.m

drtoolbox

.........\._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

.........\._Readme.txt

.........\._reconstruction_error.m

.........\compute_mapping.m

.........\Contents.m

.........\drgui.m

.........\generate_data.m

.........\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

.........\intrinsic_dim.m

.........\mexall.m

.........\out_of_sample.m

.........\out_of_sample_est.m

.........\prewhiten.m

.........\Readme.txt

.........\reconstruction_error.m

.........\techniques

.........\..........\._autoencoder_ea.m

Matlab针对各种数据预处理的降维方法源码集合我要分享

代码描述

代码预览

相关推荐