Fuzzy Clustering for Topic Analysis and Summarization
Sabine Bergler
Université Concordia
Le 7 juin 2007 à 11h30
Salle 3195, Pavillon André-Aisenstadt
We describe the use of a clustering algorithm based on fuzzy set theory for the detection of common and distinctive topics within a document set. This approach generates a highly flexible data structure that has been applied to multidocument summarization.
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