DocumentCode
2167325
Title
Fuzzy C-means clustering algorithm based on kernel method
Author
Wu, Zhong-dong ; Xie, Wei-xin ; Yu, Jian-Ping
Author_Institution
Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
fYear
2003
fDate
27-30 Sept. 2003
Firstpage
49
Lastpage
54
Abstract
In this paper, we propose a fuzzy kernel C-means clustering algorithm (FKCM) which is based on conventional fuzzy C-means clustering algorithm (FCM). This new FKCM algorithm integrates FCM with Mercer kernel function and deals with some issues in fuzzy clustering. The properties of the new algorithms are illustrated the FKCM algorithm is not only suitable for clusters with the spherical shape, but also other non-spherical shapes such as annular ring shape effectively.
Keywords
fuzzy set theory; pattern clustering; Mercer kernel function; annular ring shape; cluster analysis; fuzzy clustering; fuzzy kernel C-means clustering algorithm; kernel method; nonspherical shape clusters; sperical shape clusters; Clustering algorithms; Computational intelligence; Kernel;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN
0-7695-1957-1
Type
conf
DOI
10.1109/ICCIMA.2003.1238099
Filename
1238099
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