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.
|Author||Mohammed Sedki, Gilles Celeux, Cathy Maugis-Rabusseau|
|Maintainer||Mohammed Sedki <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on R-Forge|
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