Title :
A Fuzzy and Hybrid Clustering Framework Using Self-Organizing Map
Author :
Chen, Ning ; Chen, An
Author_Institution :
Inst. of Eng., Polytech. Inst. of Porto, Porto
Abstract :
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.
Keywords :
fuzzy set theory; pattern clustering; self-organising feature maps; statistical analysis; cluster analysis; fuzzy clustering framework; fuzzy projection; hybrid clustering framework; integrates fuzzy set theory; partitive clustering algorithms; self-organizing map; Clustering algorithms; Computational efficiency; Cost function; Data visualization; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Knowledge engineering; Power engineering and energy; categorical; fuzzy; hybrid; self-organizing map;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Shandong
Print_ISBN :
978-0-7695-3305-6
DOI :
10.1109/FSKD.2008.149
