[R] clustering question ... hclust & kmeans

[Mark Robinson]

I am using R 1.3.0 on Windows 2000.

For an experiment, I am wanting to find the most diverse 400 items to
study in a possible 3200 items.  Diversity here is based on a few
hundred attributes.  For this, I would like to do a clustering analysis
and find 400 clusters (i.e. different from each other in some way
hopefully).  From each of these 400 clusters, I will pick a
representative.  I expect many of these clusters will have just one
item.  I am planning to do this using a variety of different clustering
methods.

What I am wondering is if there is any way to retrieve from hclust the
cluster membership after I cut off the tree.  That is, if I cut the tree
to segregate into my 400 clusters, is there any way to find which item
goes into which cluster ... similar to the way kmeans returns "cluster"?

Many thanks,
M.

Mark Robinson (m.robinson at utoronto.ca), M.Sc.
Statistician, Best Institute, University of Toronto

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