R: Cut a tree into groups of data

cutree {mva} | R Documentation

## Cut a tree into groups of data

### Description

Cuts a tree, e.g., as resulting from `hclust`, into several groups either by specifying the desired number of groups or the cut height.

### Usage

    cutree(tree, k=NULL, h=NULL)

### Arguments

`tree` | a tree as produced by `hclust`
`k` | an integer scalar or vector with the desired number of groups
`h` | numeric scalar or vector with heights where the tree should be cut.

At least one of `k` or `h` must be specified, `k` overrides `h` if both are given.

### Value

`cutree` returns a vector with group memberships if `k` or `h` are scalar, otherwise a matrix with group meberships is returned where each column corresponds to the elements of `k` or `h`, respectively (which are also used as column names).

### See Also

`hclust`

### Examples

    require(mva)
    data(USArrests)

    hc <- hclust(dist(USArrests))

    cutree(hc, k=1:5)#k = 1 is trivial
    cutree(hc, h=250)

    ## Compare the 2 and 3 grouping:
    g24 <- cutree(hc, k = c(2,4))
    table(g24[,"2"], g24[,"4"])

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