[R-pkgs] Cluster validation statistics in fpc

[Christian Hennig]

Hi,

this is to announce a new version (1.1-2) of my package fpc. Apart from
the stuff already present in the older version (methods for fixed point
clustering and clusterwise regression, somewhat bug-cleaned and with
faster examples) there is now a function cluster.stats, which computes
some distance-based statistics often used for cluster validation,
description and decision about the number of clusters, including the
so-called corrected rand index and some further methods mentioned in the
Gordon 1999 book on Classification.

Best,
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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