SDisc: Integrated methodology for the identification of homogeneous
subtypes in data
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.
| Version: |
1.24 |
| Depends: |
R (≥ 2.12.1), mclust, stats, utils, RColorBrewer, abind, xtable, digest, e1071, snow, SparseM |
| Published: |
2011-11-02 |
| Author: |
Fabrice Colas |
| Maintainer: |
Fabrice Colas <sdisc at grano-salis.fr> |
| License: |
BSD |
| URL: |
http://grano-salis.fr/sdisc/ |
| NeedsCompilation: |
no |
| In views: |
Cluster |
| CRAN checks: |
SDisc results |
Downloads: