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

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

Domains: Information Retrieval [cs.IR]; Web

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⟩