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...re is the code: x = colCandList$colCandInd y = colCandList$colCandMed m = matrix(c(x, y), nrow = length(colCandList$colCandInd), ncol=2) kres = kmeans(m, 2) Is there a way to retrieve both clusters in output of the algorithm in order to process in each cluster ? (I am looking for smthing like kres$clustList ... where I can process each cluster) kres$cluster did not yield what I expected ... thanks for your help -- View this message in context: http://r.789695.n4.nabble.com/kmeans-how-to-retrieve-clusters-tp4426427p4426427.html Sent from the R help mailing list archive at Nabble.com.

Dear All, I wrote a function for cluster analysis to compute cophenetic correlations between dissimilarity matrices (using the VEGAN library) and cluster analyses of every possible clustering algorithm (SEE ATTACHED) http://old.nabble.com/file/p26288610/cor.coef.R cor.coef.R . As it is now, it is extremely long, and for the future I was hoping to find a more efficient way of doing this sort of