FisherEM (1.1.2)

Model-Based Clustering in the Fisher Discriminative Subspace.

http://cran.r-project.org/web/packages/FisherEM

Model-Based Clustering in the Fisher Discriminative Subspace provides a low-dimensional discriminative representation of the clustered data. To find a parsimonious and discriminative fit for the data this method uses discriminative latent model (DLM). The Fisher EM algorithm estimates the parameters of DLM models in order to cluster and visualize the clustered data.

Maintainer: Who to complain to
Author(s): J.Loisel T.Souvannarath M.Tchebanenko C.Bouveyron C.Brunet

License: GPL-2

Uses: e1071, MASS

Released about 2 years ago.