基于云计算平台的聚类算法研究进展  

A survey of clustering algorithms based on cloud computing platform

作　　者：张锦杏[1] 缪裕青[1] 邱良佩[1] 文益民[1] 

机构地区：[1]桂林电子科技大学计算机科学与工程学院,广西桂林541004

出　　处：《桂林电子科技大学学报》2013年第1期23-28,共6页Journal of Guilin University of Electronic Technology

基　　金：广西可信软件重点实验室开放基金(KX201116);广西教育厅科研项目(201204LX122)

摘　　要：基于云计算平台的数据挖掘主要目的是为了更好地处理海量数据,挖掘有用的信息。云计算为海量数据挖掘提供了强大的数据收集、存储和计算能力,简述了云计算技术及其研究现状,详细介绍了基于云计算平台的聚类算法,总结在云计算平台研究聚类所遇到的新问题,对基于云计算平台的聚类发展趋势进行展望。In order to discover useful information from massive data more efficiently, data mining based on cloud computing comes into being and attracts large amounts of attention. Cloud computing is an emerging technology with powerful capacities of data collecting, storing and computing. It offers great opportunities for data mining. As one of the main fields of data mining, clustering analysis has been widely applied in many domains. Firstly cloud computing technologies and its current state are introduced briefly. Then the existing clustering algorithms based on cloud computing environment are analyzed and categorized. After some major challenges of clustering on cloud com- puting platform are listed, a prospect of this field is given.

关 键 词：数据挖掘 云计算 聚类分析 

分 类 号：TP311.133.1[自动化与计算机技术—计算机软件与理论]