Clustering of high-dimensional Gaussian mixtures with the EM algorithm

CHIME is a method for Clustering HIgh-dimensional Gaussian Mixtures with the EM algorithm. The optimization is based on the popular EM algorithm and a direct estimation method for the sparse discriminant vector. CHIME is implemented in Matlab.

Details on the method implemented are available here.