Package: FisherEM
Type: Package
Title: The FisherEM Algorithm to Simultaneously Cluster and Visualize
        High-Dimensional Data
Version: 1.6
Date: 2020-09-28
Encoding: UTF-8
Author: Charles Bouveyron, Camille Brunet & Nicolas Jouvin.
Maintainer: Charles Bouveyron <charles.bouveyron@gmail.com>
Depends: MASS, parallel, elasticnet, ggplot2
Imports: ellipse, plyr
Description: The FisherEM algorithm, proposed by Bouveyron & Brunet (2012) <doi:10.1007/s11222-011-9249-9>,
        is an efficient method for the clustering of high-dimensional data. FisherEM models and 
        clusters the data in a discriminative and low-dimensional latent subspace. It also provides
        a low-dimensional representation of the clustered data. A sparse version of Fisher-EM
        algorithm is also provided.
License: GPL-2
LazyLoad: yes
NeedsCompilation: no
RoxygenNote: 7.1.1
Suggests: testthat, aricode
Packaged: 2020-09-28 13:33:41 UTC; charles
Repository: CRAN
Date/Publication: 2020-09-28 14:10:02 UTC
Built: R 4.6.0; ; 2026-04-26 07:27:31 UTC; unix
