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	Modified FCM clustering based on kernel mapping
	Li, ZY ; Tang, SW ; Xue, J ; Jiang, J
	2001
关键词	FCM kernel mapping feature space non-linear mapping
英文摘要	A modified method for performing nonlinear form of Fuzzy C-Means (FCM) clustering algorithm (K-FCM) is proposed. By the use of kernel mapping, the non-linear clustering problem can be efficiently transformed into a linear problem in high-dimensional, even infinite, feature space. At the same time, we need not to know the explicit form of the non-linear mapping. That means that the computational complexity will not raised largely. The experimental result reveals the efficient and effective of the method proposed in this paper.; Engineering, Electrical & Electronic; Optics; EI; CPCI-S(ISTP); 1
语种	英语
DOI标识	10.1117/12.441658
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/407036]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Li, ZY,Tang, SW,Xue, J,et al. Modified FCM clustering based on kernel mapping. 2001-01-01.

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