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.
|Author||Charles Bouveyron and Camille Brunet|
|Date of publication||2013-06-28 18:44:30|
|Maintainer||Camille Brunet <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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