Dear all,
what would be the best way of retrieving distances between individual clusters
after cutting my tree of interest? $height from the hclust object will give me
the distance between clusters at a each agglomeration step, but let's say I
have a situation where I have six observations A, B, C, D, E, F. The clustering
proceeds
1) {A,B}
2) {C,D},
3) {E,F},
3) {C,D,E,F}
4) {A,B,C,D,E,F}
but now I want to know the distance between {A,B} and {E,F} which is not
directly recorded in $height?
I could find the distance by locating cluster members in the original distance
matrix, but is there a more direct way that I might not be aware of? Something
along the lines of calc.pairwise.dist(cutree(hclust(dist),k=3))?
Many thanks in advance.
Kamila
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