Hi Guys
I want to apply a clustering algo to my dataset in order to find the
regions points(X,Y) which have similar values(percent_GC and
mean_phred_quality). Details below.
I have sampled 1% of points from my main data set of 85 million
points. The result is still somewhat large 800K points and
, March 02, 2011 4:08 PM
> To: r-help@r-project.org
> Subject: [R] clustering problem
>
> Hi,
>
> I have a gene expression experiment with 20 samples and 25000 genes each.
> I'd like to perform clustering on these. It turned out to become much
> faster
> when I transform
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 pr
Hi,
I have a gene expression experiment with 20 samples and 25000 genes each.
I'd like to perform clustering on these. It turned out to become much faster
when I transform the underlying matrix with t(matrix). Unfortunately then
I'm not anymore able to use cutree to access individual clusters. In
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
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 symmetrical.
Example input:
NameA N
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