Patent Document ID: 8725736
Application ID: 13767849

Base Claim:
1. A computer-implemented system for clustering similar documents, comprising: concepts for a set of documents; an occurrence module to determine occurrence frequencies of each concept in the document set; a distance module to calculate an inner product quantifying a similarity for each of the documents in the set with one or more clusters of documents based on the occurrence frequencies of the concepts; a map module to map each document to each of the document clusters based on the inner product, to identify those documents with the smallest inner products as most relevant to a theme, and to generate a matrix as a representation of the document and cluster mappings; and a processor to execute the modules.

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Claim 10:
10. A system according to claim 1 , further comprising: a similarity module to quantify the similarity by comparing frequency occurrences for each of the concepts with concept weightings for each cluster.