This document summarizes a presentation given by LoreMa Auvil of the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign on July 28, 2008 at the High-Performance Computing in the Humanities, Arts, and Social Science Workshop. The presentation discussed text mining and defined clustering as taking a set of documents and similarity measure among them and finding clusters where documents within a cluster are more similar to each other than documents in separate clusters, with the goal of finding the correct set of related documents. Some example similarity measures mentioned include Euclidean distance.
