Robust Model-Based Clustering

We propose a class of Fisher-consistent robust estimators for mixture models. These are then used to build model-based clustering procedure. study in detail the case multivariate Gaussian mixtures and an algorithm, similar EM compute proposed clusters. An extensive Monte Carlo simulation shows that our proposal outperforms other non robust, state art, procedures. apply real data set show again it alternative