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
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;
Conference_Titel :
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN :
0-7695-1957-1
DOI :
10.1109/ICCIMA.2003.1238099
