Variable selection in model-based clustering.
It is devoted to the variable selection in model-based clustering.
It is the greedy algorithm associated to the SR modeling proposed by C. Maugis, G. Celeux and M.-L. Martin-Magniette in  and , modifying the method of Raftery and Dean .
This software allows to study data where individuals are described by quantitative block variables. It returns a data clustering and the selected model, composed of the number of clusters, the mixture form and the variable partition.