Determines the classifications corresponding to different numbers of groups given merge pairs from hierarchical agglomeration.

hclass(hcPairs, G)

## Arguments

hcPairs A numeric two-column matrix in which the ith row gives the minimum index for observations in each of the two clusters merged at the ith stage of agglomerative hierarchical clustering. An integer or vector of integers giving the number of clusters for which the corresponding classfications are wanted.

## Value

A matrix with length(G) columns, each column corresponding to a classification. Columns are indexed by the character representation of the integers in G.

hc, hcE

## Examples

hcTree <- hc(modelName="VVV", data = iris[,-5])
cl <- hclass(hcTree,c(2,3))

if (FALSE) {
par(pty = "s", mfrow = c(1,1))
clPairs(iris[,-5],cl=cl[,"2"])
clPairs(iris[,-5],cl=cl[,"3"])
}