Hi all, I'm doing a study on predicting the "true" number of clusters in a hierarchical clustering scheme. My main reference is at the moment
Milligan GW and Cooper MC (1985) "An examination of procedures for determining the number of clusters in a data set" Psychometrika vol 50 no 2 pp 159-179 and all the references included in that paper. I'm planning to perform a similar comparison on a number of indexes, but on a much larger data set (in the order of 3000 points), and with a much higher "true" number of clusters (in the order of some hundreds), to see if the properties of the indexes scale accordingly. I was wondering if the set of indexes described in the reference are still "state of the art" (most of them were introduced in the '60s and '70s), or if there are new indexes and methods I could include in my study. I would really appreciate if you could point me to some newer references addressing this problem. I also read Milligan's chapter in the book "Clustering and Classification" from 1995, but didn't find information on this subject that wasn't included in the previous paper. Thank you very much, Giampiero _________________________________________________________ Giampiero Salvi, M.Sc. www.speech.kth.se/~giampi Speech, Music and Hearing Tel: +46-8-790 75 62 Royal Institute of Technology Fax: +46-8-790 78 54 Drottning Kristinasv. 31, SE-100 44, Stockholm, Sweden ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
