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.

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

[Package

*stats* version 2.5.0

Index]