Cluster detection by a constant height cut of a hierarchical clustering dendrogram.
cutreeStaticColor(dendro, cutHeight = 0.9, minSize = 50)a hierarchical clustering dendrogram such as returned by hclust.
height at which branches are to be cut.
minimum number of object on a branch to be considered a cluster.
A character vector giving color labels of objects, with "grey" meaning unassigned. The largest cluster
is conventionally labeled "turquoise", next "blue" etc. Run standardColors() to see the sequence
of standard color labels.
This function performs a straightforward constant-height cut as implemented by cutree,
then calculates the number of objects on each branch and only keeps branches that have at least
minSize objects on them.
hclust for hierarchical clustering, cutree and
cutreeStatic for other constant-height branch cuts, standardColors to see
the sequence of color labels that can be assigned.