Sure,
but in the end I like to call clusters of genes and not of samples. Actually
the experiment is a time-lapse experiment, therefore the samples (columns)
are fixed anyway.
I guess my misunderstanding is that I get clustering of rows in the latter
case (with dist(t(matrix))) because it's actua
Don't you expect it to be a lot faster if you cluster 20 items instead of 25000?
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Maxim
Sent: Wednesday, March 02, 2011 4:08 PM
To: r-help@r-project.org
Subject: [R] clustering problem
Karin Lagesen wrote:
> First I just want to say thanks for all the help I've had from the
> list so far..)
>
> I now have what I think is a clustering problem. I have lots of
> objects which I have measured a dissimilarity between. Now, this list
> only has one entry per pair, so it is not symme
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