FisherEM (1.4)

0 users

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.

Maintainer: Camille Brunet
Author(s): Charles Bouveyron and Camille Brunet

License: GPL-2

Uses: elasticnet, MASS

Released about 4 years ago.

6 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of FisherEM yet. Want to be the first? Write one now.

Related packages: FunCluster, GLDEX, GSM, amap, bayesm, bayesmix, cba, cclust, clValid, clue, clusterGeneration, clusterRepro, clusterSim, cluster, clusterfly, clustvarsel, clv, depmix, e1071, flexclust(20 best matches, based on common tags.)

Search for FisherEM on google, google scholar, r-help, r-devel.

Visit FisherEM on R Graphical Manual.