Re: [R] Kmeans cluster analysis An idea for an interactive approach is to create a distance matrix with 1 or 0 according as pairs are on the same or different clusters, input that to hclust, plot, and run identify.hclust.       regards,   Farrar Monica Pisica  wrote:   Hi Nataniel, As far as i know there is a package called clustTool which has a very nice  interface with the capability to do different cluster analyses. It also  prodused a plot of each cluster and the mean for each cluster of each  variable - and i guess this is what you are after! But depending of which  parameters you are using for the cluster analysis, the package is extremely  slow if you have more than 5000 datapoints. Maybe you can take the function  apart to see where and what generates the plot and use that for your  analysis. I hope this helps, Monica Palaseanu-Lovejoy Message: 35 Date: Tue, 10 Apr 2007 19:51:24 +0000 (GMT) From: nathaniel Grey  Subject: [R] Kmeans cluster analysis To: r-help@stat.math.ethz.ch Message-ID: <352480.52445.qm@web23402.mail.ird.yahoo.com> Content-Type: text/plain Hello, I have a data-set containing 22 variables, after appropriate  transformations etc I ran a kmeans cluster analysis for 4 clusters , I ran it 20 times to find a result  with the lowest within sum of squares. My question is how best do I go about finding out what the characteristics  are of each cluster? Is one cluster dominated by a particular set of variables or by a particular  variable? The only way I know is to to look at the means for each variable for each  cluster, but as there are 22 variables this is time consuming. Is there a way to graphically represent the clusters in relation to the  variables...if so I might need some guidance on the coding as I am new to the R environment. Any advice and direction would be gratefully received. best wishes, Nataniel Grey _________________________________________________________________ Live! http://clk.atdmt.com/MRT/go/mcrssaub0050001411mrt/direct/01/ ______________________________________________ R-help@stat.math.ethz.ch 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. 	[[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch 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.