FisherEM-package: The FisherEM package

Description Details Author(s) References


The FisherEM package provides an efficient algorithm for the unsupervised classification of high-dimensional data. This FisherEM algorithm models and clusters the data in a discriminative and low-dimensional latent subspace. It also provides a low-dimensional representation of the clustered data.


Package: FisherEM
Type: Package
Version: 1.2
Date: 2012-07-09
License: GPL-2
LazyLoad: yes


Charles Bouveyron and Camille Brunet

Maintainer: Camille Brunet <[email protected]>


Charles Bouveyron, Camille Brunet (2012), "Simultaneous model-based clustering and visualization in the Fisher discriminative subspace.", Statistics and Computing, 22(1), 301-324.

Charles Bouveyron, Camille Brunet (2012), "Discriminative variable selection for clustering with the sparse Fisher-EM algorithm", preprint Hal n-00685183.

FisherEM documentation built on May 29, 2017, 4:22 p.m.