Take categorical data matrix and transform whole matrix to binary sparse 1ofM matrix, keeping track of what came where. Ideal for any form of count-based probabilistic analysis.-Take categorical data matrix and transform whole matrix to binary sparse

基于相异性的稀疏子集选择。作者是大名鼎鼎的Ehsan Elhamifar。-Dissimilarity-based Sparse Subset Selection (DS3) is an algorithm based on simultaneous sparse recovery for finding data/model representatives a large collection of data/models.

稀疏流形聚类。作者是大名鼎鼎的Ehsan Elhamifar。-Sparse Manifold Clustering and Embedding (SMCE) is an algorithm based on sparse representation theory for clustering and dimensionality reduction of data lying in a union of nonlinear manifolds.

稀疏贝叶斯学习中相关向量机学习程序资料，一起学习(In sparse Bayesian learning, correlation vector machine learning program data, learning together)