VarSelLCM (1.1)

Variable Selection for Model-Based Clustering using the Integrated Complete-Data Likelihood of a Latent Class Model.

Variable Selection for model-based clustering by using a mixture model of Gaussian distributions assuming conditional independence between variables. The algorithm carries out the model selection by optimizing the MICL criterion which has a closed form for such a distribution.

Maintainer: Mohammed Sedki
Author(s): Matthieu Marbac and Mohammed Sedki

License: GPL (>= 2)

Uses: mclust, Rcpp

Released almost 5 years ago.