Efficient VLSI Architecture for fuzzy C-means clustering in reconfigurable hardware

Hui Ya Li, Cheng Tsun Yang, Wen Jyi Hwang*

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

6 引文 斯高帕斯(Scopus)

摘要

A cost-effective parallel VLSI architecture for fuzzy c-means clustering is presented. The architecture reduces the area cost and computational complexity for membership coefficients and centroid computation by employing lookup table based dividers. 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.

原文英語
主出版物標題4th International Conference on Frontier of Computer Science and Technology, FCST 2009
頁面168-174
頁數7
DOIs
出版狀態已發佈 - 2009
事件4th International Conference on Frontier of Computer Science and Technology, FCST 2009 - Shanghai, 中国
持續時間: 2009 12月 172009 12月 19

出版系列

名字4th International Conference on Frontier of Computer Science and Technology, FCST 2009

其他

其他4th International Conference on Frontier of Computer Science and Technology, FCST 2009
國家/地區中国
城市Shanghai
期間2009/12/172009/12/19

ASJC Scopus subject areas

  • 一般電腦科學

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