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Organization of Information for the Web using Hierarchical Fuzzy Clustering Algorithm based on Co-Occurrence Networks

Faraz Zaidi 1, 2 Guy Melançon 1, 2 
1 LaBRI - Laboratoire Bordelais de Recherche en Informatique
2 GRAVITE - Graph Visualization and Interactive Exploration
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.
Keywords : Web Mining Fuzzy and Hierarchical Clustering Information Retrieval
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Submitted on : Friday, December 3, 2010 - 12:36:19 PM
Last modification on : Saturday, June 25, 2022 - 10:32:21 AM
Long-term archiving on: : Friday, March 4, 2011 - 3:29:57 AM

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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⟩

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