Hi, as said before, some statistics to estimate the number of clusters are in the cluster.stats function of package fpc. These are distance-based, not "pseudo F or T^2". They are documented in the book of Gordon (1999) Classification (see ?cluster.stats for more references). It also includes the average silhouette width of Kaufman and Rousseeuw (1990) (exact reference in ?plot.agnes), which is also part of the output of some functions in package cluster (pam, agnes,...?).
An alternative way to estimate the number of clusters is the use of the BIC together with a (normal) mixture model, see package mclust. Best, Christian On Sun, 5 Feb 2006, John Janmaat wrote: > Hello, > > I'm playing around with cluster analysis, and am looking for methods to > select the number of clusters. I am aware of methods based on a 'pseudo > F' or a 'pseudo T^2'. Are there packages in R that will generate these > statistics, and/or other statistics to aid in cluster number selection? > > Thanks, > > John. > -- > =========================================================================== > Dr. John Janmaat Tel: 902-585-1461 > Department of Economics Fax: 902-585-1070 > Acadia University Email: [EMAIL PROTECTED] > Wolfville, Nova Scotia, Canada. Web: ace.acadiau.ca/~jjanmaat/ > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > *** --- *** Christian Hennig University College London, Department of Statistical Science Gower St., London WC1E 6BT, phone +44 207 679 1698 [EMAIL PROTECTED], www.homepages.ucl.ac.uk/~ucakche ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
