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.
| Version: | 1.3.2 |
| Depends: | MASS, elasticnet, e1071, nlme |
| Published: | 2013-02-21 |
| Author: | Charles Bouveyron and Camille Brunet |
| Maintainer: | Camille Brunet <camille.brunet at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | FisherEM citation info |
| In views: | Cluster |
| CRAN checks: | FisherEM results |
| Package source: | FisherEM_1.3.2.tar.gz |
| MacOS X binary: | FisherEM_1.3.2.tgz |
| Windows binary: | FisherEM_1.3.2.zip |
| Reference manual: | FisherEM.pdf |
| Old sources: | FisherEM archive |