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%0 Journal Article
%A Witte, René & Bergler, Sabine
%D 2007
%T Fuzzy Clustering for Topic Analysis and Summarization of Document Collections
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%B Advances in Artificial Intelligence
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%P 476--488
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%K clustering fuzzy summarization 
%X Large document collections, such as those delivered by Internet search engines, are difficult and time-consuming for users to read and analyse. The detection of common and distinctive topics within a document set, together with the generation ofmulti-document summaries, can greatly ease the burden of information management. We show how this can be achieved with a clusteringalgorithm based on fuzzy set theory, which (i) is easy to implement and integrate into a personal information system, (ii)generates a highly flexible data structure for topic analysis and summarization, and (iii) also delivers excellent performance.
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%U http://dx.doi.org/10.1007/978-3-540-72665-4_41
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