计算机与现代化Issue(1)：90-92,108,4.DOI:10.3969/j.issn.1006-2475.2014.01.021
一种基于MapReduce的并行聚类模型
A Parallel Clustering Model Based on MapReduce
摘要
Abstract
During the clustering for big scale data , the traditional serial model has limitations , can not obtain a satisfied results within significant intervals .This paper proposes a concurrent clustering model based on MapReduce architechture under the Ha -doop platform .The experiment result shows this model has a perfect linear speedup , and it outperforms the traditional clusting model, especially in dealing with massive data set .关键词
数据挖掘/算法/云计算/MapReduce/HadoopKey words
data mining/algorithm/cloud computing/MapReduce/Hadoop分类
信息技术与安全科学引用本文复制引用
顾瑞春,王静宇..一种基于MapReduce的并行聚类模型[J].计算机与现代化,2014,(1):90-92,108,4.基金项目
内蒙古科技大学创新基金资助项目（2011NCL054）；内蒙古科技大学教学改革研究项目 （）
