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kml (version 2.1.2)

K-means for Longitudinal data

Description

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.

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Version

Install

install.packages('kml')

Monthly Downloads

1,177

Version

2.1.2

License

GPL (>= 2)

Maintainer

Christophe Genolini

Last Published

November 19th, 2012

Functions in kml (2.1.2)

partitionInitialise

~ Function: partitionInitialise ~

~ Function: choice ~

generateArtificialLongData

~ Function: generateArtificialLongData (or gald) ~

~ Functions: affectIndiv & affectIndivC ~

~ Internal KmL objects and methods ~

~ Algorithm kml: K-means for Longitidinal data ~

~ Function: parKml ~

~ Function: clusterization ~

calculTrajFuzzyMean

~ Function: calculTrajFuzzyMean ~

~ Function: calculMean ~

ClusterizLongData-class

~ Class: ClusterizLongData ~

~ Algorithm fuzzy kml: Fuzzy k-means for Longitidinal data ~

~ Function:trajKmlSlow ~

updateClusterization

~ Function: updateClusterization ~

updateClusterizLongData

~ Function: updateClusterizLongData ~

exportClusterization

~ Function: exportClusterization ~

as.clusterizLongData

~ Function: as.clusterizLongData (or as.cld) ~

clusterLongData

~ Function: clusterLongData (or cld) ~

getBestPostProba

~ Function: getBestPostProba ~

affectIndivGeneralized

~ Function: affectIndivGeneralized ~

~ Functions: calculTrajMean & calculTrajMeanC ~

~ Data: epipageShort ~

~ Overview: K-means for Longitudinal data ~

plot,ClusterLongData

~ Function: plot for ClusterLongData ~

Clusterization-class

~ Class: Clusterization ~

~ Function: getClusters ~

plotAll,ClusterizLongData

~ Function: plotAll for ClusterizLongData ~

affectFuzzyIndiv

~ Function: affectFuzzyIndiv ~

ClusterLongData-class

~ Class: ClusterLongData ~

~ Function: plotCriterion ~

clusterizLongData

~ Function: clusterizLongData (or cld) ~

~ Class: "ParKml" ~