Hi all, Is it possible to run kmeans, pam or clara with a constraint such that no resulting cluster has fewer than X cases? These kmeans algorithms often find clusters that are too small for my use. There are usually a few clusters with 1-10 cases (generally substantial outliers). I then have to manually assign the small ones to other sizable clusters. If this doesn't exist, it there such an algorithm that does this? Thanks, Danny