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references on cluster analysis

Hi,
(Uh, I missed this one. Too much spam?)

I would add information based criteria (AIC, BIC and so on)
together with a normal mixture model (implemented in package mclust). Four
of these criteria are compared in Celeux and Soromenho, An Entropy
Criterion for Assessing the Number of Clusters in a Mixture Model, Journal
of Classification 13, 195-212 (1996) along with more references.

Note that there are also a number of clustering approaches in the recent
literature that decide about the number of clusters implicitly (not via
optimizing over all cluster numbers), e.g., DBSCAN. 

Christian
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Christian Hennig
Fachbereich Mathematik-SPST/ZMS, Universitaet Hamburg
hennig at math.uni-hamburg.de, http://www.math.uni-hamburg.de/home/hennig/
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