kml: K-means for Longitudinal data
KmL is an implementation of k-means specifically design
to cluster longitudinal data. It provides facilities to deal with missing
value, compute several quality criterion (Calinski and Harabatz,
Ray and Turie, Davies and Bouldin, BIC, ...) and propose a graphical
interface for choosing the 'best' number of clusters.
| Version: |
2.2 |
| Depends: |
methods, clv, longitudinalData (≥ 2.2) |
| Published: |
2014-03-24 |
| Author: |
Christophe Genolini [cre, aut],
Bruno Falissard [ctb] |
| Maintainer: |
Christophe Genolini <christophe.genolini at u-paris10.fr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
http:www.r-project.org |
| NeedsCompilation: |
yes |
| In views: |
Cluster |
| CRAN checks: |
kml results |
Downloads:
Reverse dependencies: