kml3d (version 0.6)

ListClustering-class: ~ Class: ListClustering ~

Description

An object of class ListClustering contain several liste of Clustering sorted by cluster numbers.

Objects from the Class

Objects are mainly design to store the numerous Clustering found by kml.

Construction

Class ListClustering objects are mainly constructed by kml. Neverdeless, it is also possible to construct them from scratch using the fonction listClustering that does create an empty object.

Author(s)

Christophe Genolini INSERM U669 / PSIGIAM: Paris Sud Innovation Group in Adolescent Mental Health Modal'X / Universite Paris Ouest-Nanterre- La Defense Contact author : [e-mail]

References

Article "KmL: K-means for Longitudinal Data", in Computational Statistics, Volume 25, Issue 2 (2010), Page 317. Web site: http://christophe.genolini.free.fr/kml

See Also

Overview: kml3d-package Classes: LongData Methods: partition

Examples

##############
### Preparing data

### Longdata
traj <- as.longData(array(rnorm(30*5*2),dim=c(30,5,2)))

### Some clustering
part2 <- partition(rep(c("A","B","A"),time=10),nbClusters=2)
clust2 <- clustering(traj,part2)

part3 <- partition(rep(c("A","B","C"),time=10),nbClusters=3)
clust3 <- clustering(traj,part3)

part3b <- partition(rep(c("A","B","C","B","C"),time=6),nbClusters=3)
clust3b <- clustering(traj,part3b)

part4 <- partition(rep(c("A","B","A","C","D"),time=6),nbClusters=4)
clust4 <- clustering(traj,part4)

################
### ListClustering
listClus <- listClustering()
listClus['criterionActif'] <-"calinski"
plot(listClus)

listClus["add"] <- clust2
listClus["add"] <- clust2
listClus["add"] <- clust3
listClus["add"] <- clust3b
listClus["add"] <- clust4
listClus["add"] <- clust4
plot(listClus)