Dear Christian: This is really a good summary. Most of my prev experience was on classification instead of clustering and this is really a good start for me. Thank you!
And also hope someone can provide more info and answers to the other questions. cheers, weiwei On 10/18/06, Christian Hennig <[EMAIL PROTECTED]> wrote: > Dear Weiwei, > > > 1. Is there a way of evaluate the effecitives (or seperation) of > > clustering (rather than by visualization)? > > The function cluster.stats in package fpc computes several cluster > validation statistics (among them the average silhouette width). > Function clusterboot in the same package (recent version) assesses cluster > stability. There are several interfaces to clustering methods implemented > in R which are documented on the help page of kmeansCBI (which gives you > kind of an overview of available "general purpose" clustering methods in R > though I may have missed some). > There are also several methods for the visualization of separation (I > know that you didn't ask for that) for which the function plotcluster is > an interface. > > Best, > Christian > > > *** --- *** > 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 > -- Weiwei Shi, Ph.D Research Scientist GeneGO, Inc. "Did you always know?" "No, I did not. But I believed..." ---Matrix III ______________________________________________ [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 and provide commented, minimal, self-contained, reproducible code.
