Organization of Information for the Web Using Hierarchical Fuzzy Clustering Algorithm Based on Co-occurrence Networks

@article{Zaidi2010OrganizationOI,
  title={Organization of Information for the Web Using Hierarchical Fuzzy Clustering Algorithm Based on Co-occurrence Networks},
  author={Faraz Zaidi and Guy Melançon},
  journal={2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology},
  year={2010},
  volume={1},
  pages={421-424}
}
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. 

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Hierarchical-Hyperspherical Divisive Fuzzy C-Means (H2D-FCM) Clustering for Information Retrieval

2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology • 2009
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