Whitham, Curtis & Christofferson, P.C.
Lightweight document clustering
A procedure for clustering documents that operates in high dimensions, processes tens of thousands of documents and groups them into several thousand clusters or, by varying a single parameter, into a few dozen clusters. The procedure is specified in two parts: computing a similarity score representing the k most similar documents (typically the top ten) for each document in the collection, and grouping the documents into clusters using the similarly scores.
International Business Machines Corporation
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Chidanand Brian F. Sholom M.
Apte White Weiss