HFCT: A Hybrid Fuzzy Clustering Method for Collaborative Tagging

Authors:
Lixin Han;Guihai Chen
Affiliations:
-;-
Venue:
ICCIT '07 Proceedings of the 2007 International Conference on Convergence Information Technology
Year:
2007

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Abstract

In recent years, there has been considerable interest in collaborative tagging. This paper proposes a hybrid fuzzy clustering method for collaborative tagging. Key feature of the method includes using a combination of the fuzzy c-means and the subtractive clustering to handle collaborative tagging problems. The method allows a resource to belong to more than one taggings with different membership grade. The HFCT method need not know in advance the number of taggings, in order to avoid the difficulty of initial guesses of the number of taggings.