[BioC] supervised clustering

[Park, Richard]

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 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

http://stat.ethz.ch/~dettling

for details.

Best regards,

Marcel

-- 
_____________________________________________________________

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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