kml: K-means for Longitudinal data

KmL is an implementation of k-means specificaly design to deal with longitudinal data. It provide facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, ...) and propose various a graphical interphace for chosing the 'best' number of clusters.

Version: 2.0
Depends: methods, clv, longitudinalData
Published: 2012-03-28
Author: Christophe Genolini
Maintainer: Christophe Genolini <christophe.genolini at u-paris10.fr>
License: GPL (≥ 2)
URL: http:www.r-project.org
In views: Cluster
CRAN checks: kml results

Downloads:

Package source: kml_2.0.tar.gz
MacOS X binary: kml_2.0.tgz
Windows binary: kml_2.0.zip
Reference manual: kml.pdf
Old sources: kml archive

Reverse dependencies:

Reverse depends: kml3d