You can convert set information to binary vectors (0/1 for presence/absence of a feature), then use a binary metric (e.g. Jacard, Tanimoto, Russell-Rao, Skal-Sneath, Yule metric) to cluster your data. I would try to pick a good visualization tool to explore the results and decide which algorithm/metric is the best for the data/problem.

Clustering algorithm and distance function for sets
I need a site that does a decent walkthrough on getting one of the OAuth projects for .Net running for my own company's use.  Any pointers to documentation and related sample code would be much appreciated.  I can already find DevDefined, Magex, and DotNetOpenAuth.  I just don't find anyone writing up their own use of these projects.
