FisherEM: The Fisher-EM algorithm
Version 1.4

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.

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AuthorCharles Bouveyron and Camille Brunet
Date of publication2013-06-28 18:44:30
MaintainerCamille Brunet <camille.brunet@gmail.com>
LicenseGPL-2
Version1.4
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("FisherEM")

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.

Functions

FisherEM Man page
FisherEM-package Man page
fem Man page Source code
fem.ari Man page Source code
fem.criteria Source code
fem.estep Source code
fem.loglik Source code
fem.main Source code
fem.mstep Source code
fem.sparse Source code
fstep.GramSc Source code
fstep.fisher Source code
fstep.qiao Source code
fstep.sparse Source code
plot.fem Man page Source code
sfem Man page Source code
summary.fem Man page Source code

Files

MD5
man
man/summary.fem.Rd
man/sfem.Rd
man/plot.fem.Rd
man/fem.ari.Rd
man/fem.Rd
man/FisherEM-package.Rd
inst
inst/CITATION
demo
demo/FisherEM.r
demo/00Index
R
R/summary.fem.R
R/sfem.R
R/plot.fem.R
R/fstep.sparse.R
R/fstep.qiao.R
R/fstep.fisher.R
R/fstep.GramSc.R
R/fem.sparse.R
R/fem.mstep.R
R/fem.main.R
R/fem.loglik.R
R/fem.estep.R
R/fem.criteria.R
R/fem.ari.R
R/fem.R
NAMESPACE
DESCRIPTION
FisherEM documentation built on May 19, 2017, 2:05 p.m.