clustvarsel (2.3.3)

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Variable Selection for Gaussian Model-Based Clustering.

Variable selection for Gaussian model-based clustering as implemented in the 'mclust' package. The methodology 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 about 1 year ago.

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