Dear R-Help,
I have a clustering problem with hclust that I hope someone can help
me with. Consider the classic hclust example:
hc <- hclust(dist(USArrests), "ave")
plot(hc)
I would like to cut the tree up in such a way so as to avoid small
clusters, so that we get a minimum number of items in each cluster,
and therefore avoid singletons. e.g. in this example, you can see that
Hawaii is split off onto its own at quite a high level. I would like
to avoid having a single item clustered on its own like this. How can
I achieve this?
I have tried manually modifying the tree using dendrapply but have not
been able to produce a valid solution thus far..
Suggestions are welcome.
Best wishes,
Mark
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
