kml (version 2.4.6.1)

K-Means for Longitudinal Data

Description

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.

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Install

install.packages('kml')

Monthly Downloads

886

Version

2.4.6.1

License

GPL (>= 2)

Last Published

December 13th, 2023

Functions in kml (2.4.6.1)