Université Sciences et Technologies - Bordeaux 1, Inria Bordeaux - Sud-Ouest, École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), CNRS - Centre National de la Recherche Scientifique : UMR
Abstract : In this paper, we present a Hierarchical Fuzzy Clustering algorithm which uses domain knowledge to automatically determine the number of clusters and their initial values. The algorithm is applied on a collection of web pages and the results are compared with existing algorithms in the literature.
https://hal.inria.fr/inria-00542691
Contributor : Faraz Zaidi
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Submitted on : Friday, December 3, 2010 - 12:36:19 PM
Last modification on : Thursday, January 11, 2018 - 6:22:12 AM
Long-term archiving on : Friday, March 4, 2011 - 3:29:57 AM
Faraz Zaidi, Guy Melançon. Organization of Information for the Web using Hierarchical Fuzzy Clustering Algorithm based on Co-Occurrence Networks. WI-IAT '10, 2010, Toronto, Canada. pp.421-424, ⟨10.1109/WI-IAT.2010.86⟩. ⟨inria-00542691⟩
