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kml (version 1.1.3)

K-Means for Longitudinal Data (KmL)

Description

KmL is an implementation of k-means specificaly design to deal with longitudinal data. It provide facilities to deal with missing value and propose a graphical interphace for chosing the correct number of clusters.

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Version

Install

install.packages('kml')

Monthly Downloads

1,177

Version

1.1.3

License

GPL (>= 2)

Maintainer

Christophe Genolini

Last Published

July 28th, 2011

Functions in kml (1.1.3)

exportClusterization

~ Function: exportClusterization ~
calculMean

~ Function: calculCenterGeneralized ~
ClusterizLongData-class

~ Class: ClusterizLongData ~
as.clusterizLongData

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

~ Function: plotAllCriterion ~
plotCriterion

~ Function: plotCriterion ~
affectIndivGeneralized

~ Function: affectIndivGeneralized ~
choice

~ Function: choice ~
updateClusterization

~ Function: updateClusterization ~
kml-package

~ Overview: K-means for Longitudinal data ~
plot,ClusterizLongData

~ Function: plot for ClusterizLongData ~
Clusterization-class

~ Class: Clusterization ~
kml

~ Algorithm kml: K-means for Longitidinal data ~
affectIndiv

~ Function: affectIndiv ~
clusterizLongData

~ Function: clusterizLongData (or cld) ~
plotAll,ClusterizLongData

~ Function: plotAll for ClusterizLongData ~
updateClusterizLongData

~ Function: updateClusterizLongData ~
partitionInitialise

~ Function: partitionInitialise ~
kml-internal

~ Internal kml objects and methods ~
clusterization

~ Function: clusterization ~
trajKmlSlow

~ Function:trajKmlSlow ~