I'm a new in R. I have a dissimitarity matrix, and I want to make a cluster using R for instance, this is the diss martix> me <-matrix(scan("new.txt"),ncol=4,byrow=T)0 1 7 20 1 0 8 18 7 8 0 12 20 18 12 0> m <- as.dist(me) // distance matrix> 1 2 3 > 1 > 7 8 > 20 18 12> fit <- hclust(ddd, method="average") > plot (fit)until here its ok , but my question is if I use a dissimilarity cutoff of 3.0, How can I do it regards, Faraz [[alternative HTML version deleted]]