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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.
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on (Volume:1 )
Date of Conference: 18-20 Oct. 2008