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 format
since the "huge" number of variables. One possible way is to project the
multidimensional space into 2-D platform, but I could not find any good way
to do that. Any suggestions or comments will be really helpful!
For suggestions it would be extremely helpful to tell us what kind of
variables your 1000 variables are.
Parallel coordinate plots plot values over (many) variables. Whether
this is useful, depends very much on your variables: E.g. I have
spectral channels, they have an intrinsic order and the values have
physically the same meaning (and almost the same range), so the parallel
coordinate plot comes naturally (it produces in fact the spectra).
Claudia
Thanks,
Meng
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--
Claudia Beleites
Spectroscopy/Imaging
Institute of Photonic Technology
Albert-Einstein-Str. 9
07745 Jena
Germany
email: claudia.belei...@ipht-jena.de
phone: +49 3641 206-133
fax: +49 2641 206-399
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
