Model-Based Clustering in the Fisher Discriminative Subspace 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. Software Depends: MASS, e1071 Who to complain to <thanh.souvannarath@gmail.com> J.Loisel T.Souvannarath M.Tchebanenko C.Bouveyron C.Brunet GPL-2 2011-05-29 application/tgz http://CRAN.R-project.org/package=FisherEM