An embedded and charset-unspecified text was scrubbed... Name: not available Url: https://stat.ethz.ch/pipermail/r-help/attachments/20060807/583b2f5b/attachment.pl
kmeans and incom,plete distance matrix concern
2 messages · Ffenics, Christian Hennig
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 chrish at stats.ucl.ac.uk, www.homepages.ucl.ac.uk/~ucakche