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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.
| Version: | 1.6 |
| Depends: | MASS, parallel, elasticnet, ggplot2 |
| Imports: | ellipse, plyr |
| Suggests: | testthat, aricode |
| Published: | 2020-09-28 |
| DOI: | 10.32614/CRAN.package.FisherEM |
| Author: | Charles Bouveyron, Camille Brunet & Nicolas Jouvin. |
| Maintainer: | Charles Bouveyron <charles.bouveyron at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | FisherEM citation info |
| CRAN checks: | FisherEM results |
| Reference manual: | FisherEM.pdf |
| Package source: | FisherEM_1.6.tar.gz |
| Windows binaries: | r-devel: FisherEM_1.6.zip, r-release: FisherEM_1.6.zip, r-oldrel: FisherEM_1.6.zip |
| macOS binaries: | r-release (arm64): FisherEM_1.6.tgz, r-oldrel (arm64): FisherEM_1.6.tgz, r-release (x86_64): FisherEM_1.6.tgz, r-oldrel (x86_64): FisherEM_1.6.tgz |
| Old sources: | FisherEM archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.