24 September 2001 Modified FCM clustering based on kernel mapping
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Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441658
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zeyu Li, Zeyu Li, Shiwei Tang, Shiwei Tang, Jing Xue, Jing Xue, Jun Jiang, Jun Jiang, } "Modified FCM clustering based on kernel mapping", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441658; https://doi.org/10.1117/12.441658
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