SelvarMix

Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis

CRAN Package

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) , is adapted to define the role of variables in the two frameworks.

  • Version1.2.1
  • R version≥ 3.1.0
  • LicenseGPL (≥ 3)
  • Needs compilation?Yes
  • Last release10/16/2017

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  • Depends5 packages
  • Imports2 packages
  • Linking To2 packages