# rect.hclust

0th

Percentile

##### Draw Rectangles Around Hierarchical Clusters

Draws rectangles around the branches of a dendrogram highlighting the corresponding clusters. First the dendrogram is cut at a certain level, then a rectangle is drawn around selected branches.

Keywords
cluster, aplot
##### Usage
rect.hclust(tree, k = NULL, which = NULL, x = NULL, h = NULL, border = 2, cluster = NULL)
##### Arguments
tree
an object of the type produced by hclust.
k, h
Scalar. Cut the dendrogram such that either exactly k clusters are produced or by cutting at height h.
which, x
A vector selecting the clusters around which a rectangle should be drawn. which selects clusters by number (from left to right in the tree), x selects clusters containing the respective horizontal coordinates. Default is which = 1:k.
border
Vector with border colors for the rectangles.
cluster
Optional vector with cluster memberships as returned by cutree(hclust.obj, k = k), can be specified for efficiency if already computed.
##### Value

(Invisibly) returns a list where each element contains a vector of data points contained in the respective cluster.

hclust, identify.hclust.
library(stats) require(graphics) hca <- hclust(dist(USArrests)) plot(hca) rect.hclust(hca, k = 3, border = "red") x <- rect.hclust(hca, h = 50, which = c(2,7), border = 3:4) x