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kml (version 1.1.2)

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

1,087

Version

1.1.2

License

GPL (>= 2)

Homepage

http:www.r-project.org

Maintainer

Christophe Genolini

Last Published

May 4th, 2010

Functions in kml (1.1.2)

affectIndivGeneralized

~ Function: affectIndivGeneralized ~

plot,ClusterizLongData

~ Function: plot for ClusterizLongData ~

exportClusterization

~ Function: exportClusterization ~

plotAllCriterion

~ Function: plotAllCriterion ~

clusterizLongData

~ Function: clusterizLongData (or cld) ~

affectIndiv

~ Function: affectIndiv ~

ClusterizLongData-class

~ Class: ClusterizLongData ~

trajKmlSlow

~ Function:trajKmlSlow ~

kml-internal

~ Internal kml objects and methods ~

clusterization

~ Function: clusterization ~

as.clusterizLongData

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

partitionInitialise

~ Function: partitionInitialise ~

kml

~ Algorithm kml: K-means for Longitidinal data ~

calculMean

~ Function: calculCenterGeneralized ~

plotAll,ClusterizLongData

~ Function: plotAll for ClusterizLongData ~

Clusterization-class

~ Class: Clusterization ~

updateClusterization

~ Function: updateClusterization ~

choice

~ Function: choice ~

updateClusterizLongData

~ Function: updateClusterizLongData ~

plotCriterion

~ Function: plotCriterion ~

kml-package

~ Overview: K-means for Longitudinal data ~