hclass: Classifications from Hierarchical Agglomeration

In mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

Classifications from Hierarchical Agglomeration

Description

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

Usage

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

hc, hcE

Examples

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


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

mclust documentation built on May 29, 2024, 8:06 a.m.