TransClust is a high-throughput clustering software that is based on Weighted Transitive Graph Projection.
It's main advantage over other approaches is that it's underlying model directly reflects hidden transitive substructures typical e.g. for biomedical data sets. In comparison to other clustering methods the desitiy parameter (the threshold) can be choosen as intuitively as for k-means.
This plugin clusters a given similarity graph by using transitivity clustering, i.e. solving the weighted transitive graph projection problem.
Please contact Jan Baumbach (jbaumbac@icsi.berkeley.edu) if you have further questions.
