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A modification to improve possibilistic fuzzy cluster analysis
Type of publication: Inproceedings
Citation: timmfuzz02possfuzzclustanal
Journal: Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Booktitle: Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Volume: 2
Year: 2002
Pages: 1460--1465
DOI: 10.1109/fuzz.2002.1006721
Abstract: We explore an approach to possibilistic fuzzy clustering that avoids a severe drawback of the conventional approach, namely that the objective function is truly minimized only if all cluster centers are identical. Our approach is based on the idea that this undesired property can be avoided if we introduce a mutual repulsion of the clusters, so that they are forced away from each other. We develop this approach for the possibilistic fuzzy c-means algorithm and the Gustafson-Kessel algorithm
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Authors Timm, Heiko
Kruse, Rudolf
Added by: [GR]
Total mark: 0
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