计算机应用与软件2016，Vol.33Issue(6)：16-19,4.DOI:10.3969/j.issn.1000-386x.2016.06.004
基于云计算平台的动态增量密度算法研究
RESEARCH ON DYNAMIC AND INCREMENTAL DENSITY ALGORITHM BASED ON CLOUD COMPUTING PLATFORM
摘要
Abstract
For the problem of traditional density clustering algorithm that it is highly time complex and is not suitable for processing dynamic data when processing massive data,we proposed a density algorithm which uses reference points and MapReduce model for dynamic and incremental clustering.The creativity of it relies on that the algorithm realises a clustering algorithm capable of processing massive dynamic data,it guarantees the consistency of incremental clustering and re-clustering results,and has the characteristic of scalability as well. Experimental results demonstrated that the algorithm decreased the sensitivity of the parameter,improved the clustering efficiency and resource utilisation of density algorithm,and was suitable for big data analysis.关键词
参考点/增量聚类/MapReduce/动态密度算法Key words
Reference points/Incremental clustering/MapReduce/Dynamic density algorithm分类
信息技术与安全科学引用本文复制引用
孟海东,任敬佩..基于云计算平台的动态增量密度算法研究[J].计算机应用与软件,2016,33(6):16-19,4.基金项目
内蒙古自然科学基金项目（2012MS0611）。孟海东，教授，主研领域数据挖掘技术，矿业系统工程 （）
