hclustcompro_subdivide {SPARTAAS}

Subdivide a cluster after running hclustcompro.

Description

Allow the user to split one cluster into sub-clusters. This function only works with 'hclustcompro_cl' object returned by the hclustcompro function.

Usage

hclustcompro_subdivide(hclustcompro_cl,cluster,nb_class)

Arguments

hclustcompro_cl

A hclustcompro_cl object

cluster

The number of the cluster. Numbered from left to right on the dendrogram (1, 2, ...)

nb_class

The number of sub-clusters you want

Value

hclustcompro_cl

A new hclustcompro_cl object updated see hclustcompro

Author(s)

A. COULON

L. BELLANGER

P. HUSI

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.
library(SPARTAAS)
data(datangkor)

#network stratigraphic data (Network)
network <- datangkor$stratigraphy

#contingency table
cont <- datangkor$contingency

#obtain the dissimilarities matrices
distance <- CAdist(cont, nPC = 11)
constraint <- adjacency(network)

#You can also run hclustcompro with the dist matrix directly
clustering <- hclustcompro(D1 = distance, D2 = constraint, alpha = 0.7, k = 7) #number of cluster 7
clustering <- hclustcompro_subdivide(clustering,cluster = 5, nb_class = 2)

#subdivide more than one cluster
clustering2 <- hclustcompro(D1 = distance, D2 = constraint,0.7,k=7) #number of cluster 7
clustering2 <- hclustcompro_subdivide(clustering2,cluster = c(5,7), nb_class = c(2,2))