cutree
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
height(s).
- Keywords
- multivariate, cluster
Usage
cutree(tree, k = NULL, h = NULL)Arguments
- tree
a tree as produced by
hclust.cutree()only expects a list with componentsmerge,height, andlabels, 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.
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
library(stats)
# NOT RUN {
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"])
# }