PARALLELIZING AN IMMUNE-INSPIRED ALGORITHM FOR FUZZY DATA CLUSTERING

摘要：

In recent years, there has been a growth of use of artificial immune network for data analysis. The huge amount of data generated by data intensive industries has pushed data analysis toward parallel implementation. The work in this paper presents the first step at realizing a parallel artificial immune network. A parallel version of artificial immune network for fuzzy data clustering was proposed to explore inherent distribution and parallelism of artificial immune system and to achieve efficiency for data analysis.Experimental results have shown that the proposed approach is simple and effective in decreasing overall time.

关键词： artificial immune network fuzzy data clustering parallelization

作者: Li Liu

作者单位: School of Information Technology, Southern Yangtze University Wuxi, Jiangsu, 214122, China

会议类型: 国际会议

会议名称: 2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

会议地点: 杭州

会议语种:英文

页码: 42-46

在线出版日期: 2006-10-12（万方平台首次上网日期，不代表论文的发表时间）