计算机工程Issue(9)：80-83,4.DOI:10.3969/j.issn.1000-3428.2013.09.017
动态云平台下的快速闭树聚类并行算法
Fast Closed Tree Clustering Parallel Algorithm for Dynamic Cloud Platform
摘要
Abstract
In order to improve the efficiency of clustering algorithm, this paper proposes a model of fast closed tree paralleled algorithm on the platform of dynamic cloud. Aiming at the random allocation strategy of cloud computing platform Hadoop, the paper puts forward CDA-GA to meet the requirements of the minimized consumption cost. Moreover, on the foundation of CDA-GA, it proposes the dynamic cloud platform model. The parallelization of traditional frequency closed tree mining algorithm and clustering algorithm and is applied in the dynamic cloud platform, this paper designs a closed tree clustering algorithm framework. Experimental results show that the algorithm is feasible and fits into clustering analysis under massive amounts of data.关键词
数据挖掘/云计算/并行计算/闭树/树聚类/海量数据Key words
data mining/cloud computing/parallel computing/closed tree/tree clustering/mass data分类
信息技术与安全科学引用本文复制引用
郭鑫,颜一鸣,徐洪智,覃遵跃..动态云平台下的快速闭树聚类并行算法[J].计算机工程,2013,(9):80-83,4.基金项目
湖南省教育厅基金资助一般项目(10C1100)；吉首大学校级科研计划基金资助项目(11JD051) （10C1100）
