R: Cut a Tree into Groups of Data

cutree {stats} | 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(s) of groups or the cut height(s).

### Usage

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

### Arguments

`tree` | a tree as produced by `hclust`. `cutree()` only expects a list with components `merge`, `height`, and `labels`, of appropriate content each.
`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.

### Details

Cutting trees at a given height is only possible for ultrametric trees (with monotone clustering heights).

### Value

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

### References

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

### See Also

`hclust`, `dendrogram` for cutting trees themselves.

### Examples

    hc <- hclust(dist(USArrests))

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

    ## Compare the 2 and 4 grouping:
    g24 <- cutree(hc, k = c(2,4))
    table(grp2=g24[,"2"], grp4=g24[,"4"])

[Package stats version 2.15.1 Index]