Dear all, In the near future we will be running supervised clustering experiments as a routine analysis in the lab. Can anyone give me an opinion on what may be the best software and or hardware that would be useful to use if we are doing this as routine. Many Thanks for your input Steve. Dr. Stephen Moore

Dear Steve, > In the near future we will be running supervised clustering > experiments as a routine analysis in the lab. Can anyone > give me an opinion on what may be the best software and or > hardware that would be useful to use if we are doing this as > routine. You may wanna consider our 'supclust'-package which is available from CRAN. It implements two algorithms for supervised clustering, Wilma and Pelora. They are both described in published papers, please check my website http://stat.ethz.ch/~dettling for details. Best regards, Marcel -- _____________________________________________________________ Marcel Dettling ETH Z?rich Seminar f?r Statistik LEO C 12.2 8092 Z?rich Phone: ++41 1 632 53 19 E-Mail: dettling@stat.math.ethz.ch Web: http://stat.ethz.ch/~dettling/

Dear Steve, In our lab, we have found this implementation of clustering quite useful. It is based on the work of Michael Eisen at Stanford. This version is a faster implementation of the various clustering methods. It has mainly unsupervised clustering methods but also include various implementations of kmeans. this is the online manual: http://bonsai.ims.u-tokyo.ac.jp/~mdehoon/software/cluster/manual/ and this is to download various algorithms.. http://bonsai.ims.u-tokyo.ac.jp/~mdehoon/software/cluster/ hth, Richard -----Original Message----- From: Marcel Dettling [mailto:dettling@stat.math.ethz.ch] Sent: Thursday, May 27, 2004 10:26 AM To: Steve Moore Cc: bioconductor@stat.math.ethz.ch Subject: Re: [BioC] supervised clustering Dear Steve, > In the near future we will be running supervised clustering > experiments as a routine analysis in the lab. Can anyone > give me an opinion on what may be the best software and or > hardware that would be useful to use if we are doing this as > routine. You may wanna consider our 'supclust'-package which is available from CRAN. It implements two algorithms for supervised clustering, Wilma and Pelora. They are both described in published papers, please check my website http://stat.ethz.ch/~dettling for details. Best regards, Marcel -- _____________________________________________________________ Marcel Dettling ETH Z?rich Seminar f?r Statistik LEO C 12.2 8092 Z?rich Phone: ++41 1 632 53 19 E-Mail: dettling@stat.math.ethz.ch Web: http://stat.ethz.ch/~dettling/ _______________________________________________ Bioconductor mailing list Bioconductor@stat.math.ethz.ch https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor