kml: K-Means for Longitudinal Data
Version 2.4.1

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.

Package details

AuthorChristophe Genolini [cre, aut], Bruno Falissard [ctb]
Date of publication2016-02-16 23:12:45
MaintainerChristophe Genolini <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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kml documentation built on May 29, 2017, 5:52 p.m.