The Research and Realization of Clustering Algorithm Based On FPGA

摘要：

Clustering algorithm is an important method of researching neural network.This paper introduces a method to implement this algorithm,under the FPGA,implement K-means clustering algorithm,accelerating the arithmetic by hardware,more rapidness,more effective. The result shows that implement this algorithm take advantage of hardware better than software.K-means clustering algorithm is a kind of clustering algorithm which can be dealt with FPGA,because it is a parallel algorithm,it will be completely get faster by FPGA than it used to be.So that is all the reason why we implement K-means clustering algorithm by FPGA.

关键词： FPGA Neural Network K-means Clustering Algorithm

作者: Jun Feng Wenbo Xu Zhilei Chai

作者单位: College of Information,Jiangnan University,Wuxi,214122,China

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 1273-1276

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）