> Thanks everyone for their help so far. I'm very appreciative of the fact that > people have pointed out that I was heading in the wrong direction. > I would be most grateful if someone could look over the following simple > example for me and tell me if this is how to do it. > I'm assuming by data matrix you mean the 'raw data' organised as a matrix > Data (not euclidean distance) matrix >> DF > V1 V2 V3 V4 > 1 78 45 34 45 > 2 97 23 67 12 > 3 9 56 12 67 > 4 19 67 23 90 > 5 34 12 78 56 > > and then >> clusters.kmeans <-kmeans(DF, 2)
This should work. (But why don't you try instead of asking first?) > if I want 2 clusters for example. > > Am I also right in thinking that I can say which 'centriods' I want the > clustering to be done? You can specify from which centroids the kmeans iteration should start, if you want to. Christian > *** --- *** Christian Hennig University College London, Department of Statistical Science Gower St., London WC1E 6BT, phone +44 207 679 1698 [EMAIL PROTECTED], www.homepages.ucl.ac.uk/~ucakche ______________________________________________ [email protected] 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.
