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 ~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! > > Thanks, > > Meng > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
