stability {ClustOfVar} | R Documentation |
Stability of partitions from a hierarchy of variables
Description
Evaluates the stability of partitions obtained from a hierarchy of p
variables. This hierarchy is performed with hclustvar
and the
stability of the partitions of 2 to p-1 clusters is evaluated with a
bootstrap approach. The boostrap approch is the following: hclustvar
is applied to B
boostrap samples of the n
rows. The
partitions of 2 to p-1 clusters obtained from the B bootstrap hierarchies
are compared with the partitions from the initial hierarchy . The mean of
the corrected Rand indices is plotted according to the number of clusters.
This graphical representation helps in the determination of a suitable
numbers of clusters.
Usage
stability(tree, B = 100, graph = TRUE)
Arguments
tree |
an object of class |
B |
the number of bootstrap samples. |
graph |
boolean, if 'TRUE' a graph is displayed. |
Value
matCR |
matrix of corrected Rand indices. |
meanCR |
vector of mean corrected Rand indices. |
See Also
Examples
data(decathlon)
tree <- hclustvar(X.quanti=decathlon[,1:10])
stab<-stability(tree,B=20)
plot(stab,nmax=7)
boxplot(stab$matCR[,1:7])