@inproceedings{833247abdd9a4f50a10bb1dc591081d5,
title = "Fast fuzzy c-means clustering based on low-cost high-performance VLSI architecture in reconfigurable hardware",
abstract = "This paper presents a novel low-cost and high-performance VLSI architecture for fuzzy c-means clustering. In the architecture, the operations at both the centroid and data levels are pipelined to attain high computational speed while consuming low hardware resources. In addition, the usual iterative operations for updating the membership matrix and cluster centroid are merged into one single updating process to evade the large storage requirement. Experimental results show that the proposed solution is an effective alternative for cluster analysis with low computational cost and high performance.",
keywords = "Data clustering, FPGA, Fuzzy c-means, Fuzzy system, Reconfigurable computing, System on programmable chip",
author = "Yeh, {Yao Jung} and Li, {Hui Ya} and Yang, {Cheng Yen} and Hwang, {Wen Jyi}",
year = "2010",
month = dec,
day = "1",
doi = "10.1109/CSE.2010.22",
language = "English",
isbn = "9780769543239",
series = "Proceedings - 2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010",
pages = "112--118",
booktitle = "Proceedings - 2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010",
note = "2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010 ; Conference date: 11-12-2010 Through 13-12-2010",
}