@inproceedings{ce401499c1f745f3a10ccb3ab56afac3,
title = "Efficient hardware architecture for kernel fuzzy c-means algorithm",
abstract = "A novel VLSI architecture for kernel fuzzy c-means algorithm is presented in this paper. The architecture consists of efficient circuits for the computation of kernel functions, membership coefficients and cluster centers. In addition, the usual iterative operations for updating the membership matrix and cluster centers are merged into one single updating process to evade the large storage requirement. The circuit is used as a hardware accelerator of a softcore processor in a system-on-programmable chip for physical performance measurement. Experimental results show that the proposed solution is an effective alternative for cluster analysis with low computational cost and high performance.",
keywords = "FPGA, Fuzzy clustering, Reconfigurable computing, System-on-chip, VLSI",
author = "Ou, {Chien Min} and Hwang, {Wen Jyi} and Yang, {Ssu Min}",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.284-287.3079",
language = "English",
isbn = "9783037856123",
series = "Applied Mechanics and Materials",
pages = "3079--3086",
booktitle = "Innovation for Applied Science and Technology",
note = "2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012 ; Conference date: 02-11-2012 Through 06-11-2012",
}