cutreediv: Cut the tree

In chavent/divclust: Divisive hierarchical clustering

Description

This function cuts the tree into several cluters by specifying the desired number of clusters.

Usage

cutreediv(tree, K)

Arguments

tree	the divclust object
K	an integer with the desired number of clusters.

Value

clusters	the list of observations in each cluster
description	the monothetic description of each cluster
which_cluster	a vector of integers indicating the cluster of each observation
B	the proportion of inertia explained by the partition (between-cluster inertia/total inertia)
leaves	an internal list of leaves

Examples

data(protein) # pure quantitatives data
tree <- divclust(protein) # full clustering
p_5 <- cutreediv(tree,K=5) # partition in 5 clusters
p_5

data(dogs) # pure qualitative data
tree <- divclust(dogs) # full clustering
p_4 <- cutreediv(tree,K=4) # partition in 4 clusters
data(wine) # mixed data
data <- wine[,1:29]
tree <- divclust(data) # full clustering
p_4 <- cutreediv(tree, 4) #

chavent/divclust documentation built on May 13, 2019, 3:38 p.m.