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: 2026-09-24 08:04:05 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2020-09-28 13:10:02 UTC
RemoteUrl: https://github.com/cran/FisherEM
RemoteRef: HEAD
RemoteSha: 4ff2e8e609a42942801b74290158e79e3c18c751