One idea: Pick the three largest clusters, their centers determine a plane.
project your data into that plane.
albyn
On Wed, May 18, 2011 at 06:55:39PM +0200, Claudia Beleites wrote:
> Hi Meng,
>
> > I would like to use R to perform k-means clustering on my data which
> >included 33 samples me
Hi Meng,
I would like to use R to perform k-means clustering on my data which
included 33 samples measured with ~1000 variables. I have already used
kmeans package for this analysis, and showed that there are 4 clusters in my
data. However, it's really difficult to plot this cluster in 2-D for
On Wed, May 18, 2011 at 7:41 AM, Meng Wu wrote:
> Hi, all
>
> I would like to use R to perform k-means clustering on my data which
> included 33 samples measured with ~1000 variables. I have already used
> kmeans package for this analysis, and showed that there are 4 clusters in my
> data. Howeve
I wonder if it makes sense to reduce the dimensionality of the variables
somehow?
David Cross
d.cr...@tcu.edu
www.davidcross.us
On May 18, 2011, at 9:41 AM, Meng Wu wrote:
> Hi, all
>
> I would like to use R to perform k-means clustering on my data which
> included 33 samples measured with
Hi, all
I would like to use R to perform k-means clustering on my data which
included 33 samples measured with ~1000 variables. I have already used
kmeans package for this analysis, and showed that there are 4 clusters in my
data. However, it's really difficult to plot this cluster in 2-D format
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