kml (2.4.1)

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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.

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

License: GPL (>= 2)

Uses: clv, longitudinalData
Reverse depends: kml3d, kmlShape

Released almost 4 years ago.

13 previous versions



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