>>>>> "Baoqiang" == Baoqiang Cao <[EMAIL PROTECTED]>
>>>>> on Wed, 29 Mar 2006 00:46:01 -0500 writes:
Baoqiang> Thanks!
Baoqiang> I tried kmeans, the results is not very positive. Anyway, thanks
Jacques! Please let me know if you have any other thoughts!
My first recommendation would have been pam(),
but Jacques mentioned that as well.
HOWEVER note that many (unfortunately nowadays even "most") people doing
cluster analysis nowadays have forgotten (or never known) the
importance of the underlying "similarity" / "dissimilarity" / "distance"
which underlies almost all clustering methods
(see functions 'dist()' and also cluster::daisy().
The choice of dissimilarity includes variable transformation,
selection, etc --- things which need thinking in addition to
software....
If you don't get "very positive" results it could well be that
you should start considering the above.
Martin Maechler, ETH Zurich
Baoqiang> ======= At 2006-03-29, 00:08:44 you wrote: =======
>> if you want to classify rows or columns, read:
>> ?hclust
>> ?kmeans
>> library(cluster)
>> ?pam
>>
>>
>> Baoqiang Cao a ______________________________________________
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