[BioC] supervised clustering

Park, Richard Richard.Park at joslin.harvard.edu
Thu May 27 19:59:16 CEST 2004

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:

and this is to download various algorithms.. 


-----Original Message-----
From: Marcel Dettling [mailto:dettling at stat.math.ethz.ch]
Sent: Thursday, May 27, 2004 10:26 AM
To: Steve Moore
Cc: bioconductor at 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


for details.

Best regards,



Marcel Dettling
ETH Zürich
Seminar für Statistik
LEO C 12.2
8092 Zürich
Phone:  ++41 1 632 53 19
E-Mail: dettling at stat.math.ethz.ch
Web:    http://stat.ethz.ch/~dettling/

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