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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