Variable selection in model-based clustering and discriminant analysis with a regularization approach

Gilles Celeux, Cathy Maugis-Rabusseau, Mohammed Sedki

Relevant methods of variable selection have been proposed in model-based clustering and classification. These methods are making use of backward or forward procedures to define the…