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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.
Package details |
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Author | Charles Bouveyron, Camille Brunet & Nicolas Jouvin. |
Maintainer | Charles Bouveyron <charles.bouveyron@gmail.com> |
License | GPL-2 |
Version | 1.6 |
Package repository | View on CRAN |
Installation |
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