clustvarsel (2.3)

Variable Selection for Gaussian Model-Based Clustering.

An R package implementing variable selection methodology for Gaussian model-based clustering which allows to find the (locally) optimal subset of variables in a data set that have group/cluster information. A greedy or headlong search can be used, either in a forward-backward or backward-forward direction, with or without sub-sampling at the hierarchical clustering stage for starting MCLUST models. By default the algorithm uses a sequential search, but parallelisation is also available.

Maintainer: Luca Scrucca
Author(s): Nema Dean [aut], Adrian E. Raftery [aut], Luca Scrucca [aut, cre]

License: GPL (>= 2)

Uses: BMA, foreach, iterators, Matrix, mclust, MASS, doParallel, knitr, rmarkdown

Released over 1 year ago.