kml: K-Means for Longitudinal Data

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: 2.4
Depends: methods, clv, longitudinalData (≥ 2.4)
Published: 2015-08-18
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
Citation: kml citation info
In views: Cluster
CRAN checks: kml results

Downloads:

Reference manual: kml.pdf
Package source: kml_2.4.tar.gz
Windows binaries: r-devel: kml_2.4.zip, r-release: kml_2.4.zip, r-oldrel: kml_2.4.zip
OS X Snow Leopard binaries: r-release: kml_2.3.1.tgz, r-oldrel: kml_2.2.tgz
OS X Mavericks binaries: r-release: kml_2.3.1.tgz
Old sources: kml archive

Reverse dependencies:

Reverse depends: kml3d