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k-DmeansWM:一种基于P2P网络的分布式聚类算法
引用本文:李榴,唐九阳,葛斌,肖卫东,汤大权.k-DmeansWM:一种基于P2P网络的分布式聚类算法[J].计算机科学,2010,37(1):39-41.
作者姓名:李榴  唐九阳  葛斌  肖卫东  汤大权
作者单位:国防科技大学信息系统与管理学院,长沙,410073
基金项目:国家自然科学基金项目(60172012);;湖南省自然科学基金项目(03JJY3110)资助
摘    要:传统的分布式聚类算法设立中心节点来实现聚类过程的控制,这不仅降低了系统可靠性,而且容易出现单点失效问题。提出一种基于P2P网络的分布式聚类算法k-Dmeans Without Master(简称k-DmeansWM),即采用对等分布的思想,摒弃中心节点,完全由对等节点来实现聚类过程的控制。理论分析与实验结果表明,k-DmeansWM在保证聚类准确性与效率的情况下,大大提高了系统的可靠性与扩展性。

关 键 词:分布式聚类  P2P  可靠性  
收稿时间:2009/2/25 0:00:00
修稿时间:5/8/2009 12:00:00 AM

k-DmeansWM:An Effective Distributed Clustering Algorithm Based on P2P
LI Liu,PANG Jiu-yang,GE Bin,XIAO Wei-dong,TANG Da-quan.k-DmeansWM:An Effective Distributed Clustering Algorithm Based on P2P[J].Computer Science,2010,37(1):39-41.
Authors:LI Liu  PANG Jiu-yang  GE Bin  XIAO Wei-dong  TANG Da-quan
Affiliation:College of Information Systems and Management/a>;National University of Defense Technology/a>;Changsha 410073/a>;China
Abstract:Centralized master node is established in normal distributed clustering algorithms in order to control clus-tering processes,which reduce the system's reliability,single point failure problem occurs easily.The effective distributed clustering algorithm k-Dmeans Without Master(k-DmeansWM) based on peer-to-peer concepts,which abandons the master node,uses peer nodes to achieve controlling of the clustering process entirely.Both theoretical analysis and experimental results show that k-DmeansWM not only ensure...
Keywords:Distributed clustering  P2P  Reliability  
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