Hi, I have published my work up until now on classcluster detection in the scg store under the highly original bundle-name "Clustering". Like this you can play around a bit to see what it can do etc. Some notes: - In order to find clusters, the clustering plugin needs to be installed, by running "SCG.Moose.AbstractEntity initializeAllMofDescriptions". I am sure there is a clean way to do this automatically when loading packages, but since I have no clue how to install that... this is how it works for now :) Next if you open the moose browser, rightclick on a model, "Find Clusters in Model". - To get better results, make sure you merge instance and class part of classes when generating models - I have included Adrians dendrogram clustering, but have written a wrapper around it to be able to browse the hierarchy as such that "double information" is avoided. For example if a b and c are all at distance 1 of each other, their combination a,b,c has threshold 1 too, so it is not useful to see a,b,c with left a,b with distance 1 and right c, so this info just gets pruned away. Currently the Interface and DeltaIC plugins are hierarchical and the reasons prefixed by * are hierarchical reasons (are possibly browsable). Adrian: currently I have to do a bit of hacking to get similar results, but it might be cleaner if the algorithms would support items laying at Infinity+ from each other (if clustered their threshold is also Infinity+), so those results can be filtered easier... - I know parts of the code (especially the UI and the sorting of reasons) should be cleaned up a bit... but I don't have time for that for the moment, and like this at least you can already see some of the possibilities that it creates Best regards, Toon _______________________________________________ Moose-dev mailing list Moose-dev(a)iam.unibe.ch https://www.iam.unibe.ch/mailman/listinfo/moose-dev