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 ______________________________________________ [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.
