SelvarMix

Performs a regularization approach to variable selection in the model-based clustering and classification frameworks. First, the variables are arranged in order with a lasso-like procedure. Second, the method of Maugis, Celeux, and Martin-Magniette (2009, 2011) doi:10.1016/j.csda.2009.04.013, doi:10.1016/j.jmva.2011.05.004 is adapted to define the role of variables in the two frameworks.