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The FisherEM algorithm, proposed by Bouveyron & Brunet (2012) <doi:10.1007/s1122201192499>, is an efficient method for the clustering of highdimensional data. FisherEM models and clusters the data in a discriminative and lowdimensional latent subspace. It also provides a lowdimensional representation of the clustered data. A sparse version of FisherEM algorithm is also provided.
Package details 


Author  Charles Bouveyron, Camille Brunet & Nicolas Jouvin. 
Maintainer  Charles Bouveyron <charles.bouveyron@gmail.com> 
License  GPL2 
Version  1.6 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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