Cut a Tree into Groups of Data
Cuts a tree, e.g., as resulting from
hclust, into several
groups either by specifying the desired number(s) of groups or the cut
cutree(tree, k = NULL, h = NULL)
- a tree as produced by
cutree()only expects a list with components
labels, of appropriate content each.
- an integer scalar or vector with the desired number of groups
- numeric scalar or vector with heights where the tree should be cut.
Cutting trees at a given height is only possible for ultrametric trees (with monotone clustering heights).
cutreereturns a vector with group memberships if
hare scalar, otherwise a matrix with group memberships is returned where each column corresponds to the elements of
h, respectively (which are also used as column names).
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
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"])