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:

Reference manual: kml.pdf
Package source: kml_2.2.tar.gz
OS X binary: kml_2.2.tgz
Windows binary: kml_2.2.zip
Old sources: kml archive

Reverse dependencies:

Reverse depends: kml3d