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A Fuzzy and Hybrid Clustering Framework Using Self-Organizing Map

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2 Author(s)
Ning Chen ; Inst. of Eng., Polytech. Inst. of Porto, Porto ; An Chen

Self-organizing map (SOM) has been recognized as a powerful tool in cluster analysis. This paper presents a fuzzy SOM algorithm for mixed numeric and categorical data which integrates fuzzy set theory in model exploration through a fuzzy projection instead of crisp projection. In addition, a hybrid clustering approach is proposed combining SOMs with partitive clustering algorithms for the sake of visualization superiority and computational efficiency.

Published in:

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on  (Volume:1 )

Date of Conference:

18-20 Oct. 2008

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