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.

G

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.

See also

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"]) }