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`.

### References

C. Fraley and A. E. Raftery (2002b). MCLUST:Software for model-based clustering, density estimation and discriminant analysis. Technical Report, Department of Statistics, University of Washington. See http://www.stat.washington.edu/mclust.

### See Also

`hc`, `hcE`

### Examples

    data(iris)
    irisMatrix <- iris[,1:4]

    hcTree <- hc(modelName="VVV", data = irisMatrix)
    cl <- hclass(hcTree,c(2,3))

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

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