kml (2.1.2)

2 users

K-means for Longitudinal data.

http:www.r-project.org
http://cran.r-project.org/web/packages/kml

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.

Maintainer: Christophe M. Genolini
Author(s): Christophe Genolini [cre, aut], Bruno Falissard [ctb]

License: GPL (>= 2)

Uses: clv, longitudinalData
Reverse depends: kml3d

Released 6 months ago.


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Related packages: FunCluster, GLDEX, GSM, LLAhclust, MFDA, amap, bayesm, bayesmix, cba, cclust, clValid, clue, clustTool, clusterGeneration, clusterRepro, clusterSim, cluster, clusterfly, clustvarsel, clv(20 best matches, based on common tags.)


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