SelvarMix (1.2.1)

0 users

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

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.

Maintainer: Mohammed Sedki
Author(s): Mohammed Sedki, Gilles Celeux, Cathy Maugis-Rabusseau

License: GPL (>= 3)

Uses: glasso, Rcpp, Rmixmod

Released over 2 years ago.

3 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of SelvarMix yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for SelvarMix on google, google scholar, r-help, r-devel.

Visit SelvarMix on R Graphical Manual.