数据降维工具箱drttoolbox

drttoolbox : Matlab Toolbox for Dimensionality Reduction是Laurens van der Maaten数据降维的工具箱。

里面囊括了几乎所有的数据降维算法：
Principal Component Analysis (‘PCA’)
Linear Discriminant Analysis (‘LDA’)
Independent Component Analysis (‘ICA’)
Multidimensional scaling (‘MDS’)
Isomap (‘Isomap’)
Landmark Isomap (‘LandmarkIsomap’)
Locally Linear Embedding (‘LLE’)
Locally Linear Coordination (‘LLC’)
Laplacian Eigenmaps (‘Laplacian’)
Hessian LLE (‘HessianLLE’)
Local Tangent Space Alignment (‘LTSA’)
Diffusion maps (‘DiffusionMaps’)
Kernel PCA (‘KernelPCA’)
Generalized Discriminant Analysis (‘KernelLDA’)
Stochastic Neighbor Embedding (‘SNE’)
Neighborhood Preserving Embedding (‘NPE’)
Linearity Preserving Projection (‘LPP’)
Stochastic Proximity Embedding (‘SPE’)
Linear Local Tangent Space Alignment (‘LLTSA’)
Simple PCA (‘SPCA’)
Conformal Eigenmaps (‘CCA’, implemented as an extension of LLE)
Maximum Variance Unfolding (‘MVU’, implemented as an extension of LLE)
Fast Maximum Variance Unfolding (‘FastMVU’)
Autoencoders using RBM pretraining (‘AutoEncoder’)
Autoencoders using evolutionary optimization (‘AutoEncoderEA’)

这里附上下载地址：http://download.csdn.net/detail/zsz_shsf/9786669

thank:http://blog.csdn.net/xiaowei_cqu/article/details/7515077