R: Classifications from Hierarchical Agglomeration

hclass {mclust} | R Documentation

## 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"])

[Package mclust version 5.4.9 Index]