Dear friends I have clustered some objects using the hclust algorithm, with method ward. I then cutree with 48 classes.
distPredTurn<-as.dist(resultMatrix) hctr<-hclust(distPredTurn,"ward") cutree(hctr,k=NC) I would like to estimate the similarity between each pair of the 48 clusters, for example as (1-distance or dissimilarity) between the centroids. Any clue on how I can do that? Regards -- Corrado Topi Global Climate Change & Biodiversity Indicators Area 18,Department of Biology University of York, York, YO10 5YW, UK Phone: + 44 (0) 1904 328645, E-mail: ct...@york.ac.uk ______________________________________________ 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.
