kml (2.4.1)

2 users

K-Means for Longitudinal Data.

http:www.r-project.org
http://cran.r-project.org/web/packages/kml

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.

Maintainer: Christophe Genolini
Author(s): Christophe Genolini [cre, aut], Bruno Falissard [ctb]

License: GPL (>= 2)

Uses: clv, longitudinalData
Reverse depends: kml3d, kmlShape

Released about 1 year ago.


13 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of kml yet. Want to be the first? Write one now.


Related packages: FunCluster, GLDEX, GSM, amap, bayesm, bayesmix, cba, cclust, clValid, clue, clusterGeneration, clusterRepro, clusterSim, cluster, clusterfly, clustvarsel, clv, depmix, e1071, flexclust(20 best matches, based on common tags.)


Search for kml on google, google scholar, r-help, r-devel.

Visit kml on R Graphical Manual.