hclass: Classifications from Hierarchical Agglomeration

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

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))

## Not run: 
par(pty = "s", mfrow = c(1,1))
clPairs(iris[,-5],cl=cl[,"2"])
clPairs(iris[,-5],cl=cl[,"3"])

## End(Not run)

Japrin/mclust documentation built on Nov. 18, 2019, 5:21 a.m.