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