FisherEM: The Fisher-EM algorithm

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. A sparse version of Fisher-EM algorithm is also provided.

Author
Charles Bouveyron and Camille Brunet
Date of publication
2013-06-28 18:44:30
Maintainer
Camille Brunet <camille.brunet@gmail.com>
License
GPL-2
Version
1.4

View on CRAN

Man pages

fem
The Fisher-EM algorithm
fem.ari
Adjusted Rand index
FisherEM-package
The FisherEM package
plot.fem
The plot function for 'fem' objects.
sfem
The sparse Fisher-EM algorithm
summary.fem
The summary function for 'fem' objects.

Files in this package

FisherEM
FisherEM/MD5
FisherEM/man
FisherEM/man/summary.fem.Rd
FisherEM/man/sfem.Rd
FisherEM/man/plot.fem.Rd
FisherEM/man/fem.ari.Rd
FisherEM/man/fem.Rd
FisherEM/man/FisherEM-package.Rd
FisherEM/inst
FisherEM/inst/CITATION
FisherEM/demo
FisherEM/demo/FisherEM.r
FisherEM/demo/00Index
FisherEM/R
FisherEM/R/summary.fem.R
FisherEM/R/sfem.R
FisherEM/R/plot.fem.R
FisherEM/R/fstep.sparse.R
FisherEM/R/fstep.qiao.R
FisherEM/R/fstep.fisher.R
FisherEM/R/fstep.GramSc.R
FisherEM/R/fem.sparse.R
FisherEM/R/fem.mstep.R
FisherEM/R/fem.main.R
FisherEM/R/fem.loglik.R
FisherEM/R/fem.estep.R
FisherEM/R/fem.criteria.R
FisherEM/R/fem.ari.R
FisherEM/R/fem.R
FisherEM/NAMESPACE
FisherEM/DESCRIPTION