Fast fuzzy c-means clustering based on low-cost high-performance VLSI architecture in reconfigurable hardware

Yao Jung Yeh*, Hui Ya Li, Cheng Yen 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

2 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
主出版物標題Proceedings - 2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010
頁面112-118
頁數7
DOIs
出版狀態已發佈 - 2010 十二月 1
事件2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010 - Hong Kong, 中国
持續時間: 2010 十二月 112010 十二月 13

出版系列

名字Proceedings - 2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010

其他

其他2010 13th IEEE International Conference on Computational Science and Engineering, CSE 2010
國家/地區中国
城市Hong Kong
期間2010/12/112010/12/13

ASJC Scopus subject areas

  • 電腦科學(雜項)

指紋

深入研究「Fast fuzzy c-means clustering based on low-cost high-performance VLSI architecture in reconfigurable hardware」主題。共同形成了獨特的指紋。

引用此