SDisc (1.24)

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Integrated methodology for the identification of homogeneous subtypes in data.

http://grano-salis.fr/sdisc/
http://cran.r-project.org/web/packages/SDisc

Tools and methods to identify homogeneous subtypes in data by cluster analysis; includes methods for data pre-processing, repeated cluster analysis, model selection, model reliability and reproducibility assessment, subtype characterization and validation.

Maintainer: Fabrice Colas
Author(s): Fabrice Colas

License: BSD

Uses: abind, digest, e1071, mclust, RColorBrewer, snow, SparseM, xtable

Released about 6 years ago.


6 previous versions

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