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K-Means算法的MapReduce并行实现 被引量:1

MapReduce Parallel Implementation of K-Means Algorithm
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摘要 首先搭建了Hadoop集群,然后在MapReduce模型中实现K-Means算法,最后设计多组实验验证了算法的稳定性和准确率. This paper firstly built a Hadoop cluster,then it realizes K-Means algorithm in the MapReduce model,and finally it designs multigroup experiments to verify that the K-Means algorithm has better stability and accuracy for data clustering analysis.
作者 蒋溢 刘鑫洋
出处 《西南大学学报(自然科学版)》 CAS CSCD 北大核心 2016年第11期180-185,共6页 Journal of Southwest University(Natural Science Edition)
基金 工信部物联网发展专项基金项目(2012-2-5) 重庆市教委科学技术研究项目(KJ1400414)
关键词 Hadoop分布式计算 K-MEANS MAPREDUCE Hadoop Distributed K-Means MapReduce
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