[R] generalisation in the use of cclust (library cclust)

From: <emmanuelle.anthoine1_at_etud.univ-ubs.fr>
Date: Wed 11 May 2005 - 23:12:24 EST

I would like to compare indexes in order to see which clustering algorithm (k- means, k-medoid, hierarchical clustering with euclidean and pearson distance) is more efficient. So I want to calculate the c-index and the db in all those cases(library cclust).
To do that I use the cclust function. How can I run this function with pearson distance for k-means? How can I generalize cclust for hierarchical clustering and k-medoid?
The class cclust object has a list of 13 components. Can anybody tell me how these components are calculated?

thanks for everything.
Emmanuelle Anthoine.    

Université de Bretagne sud                               http://www.univ-ubs.fr/

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