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Research on Clustering Algorithm for Massive Data Based on Hadoop Platform

机译:基于Hadoop平台的海量数据聚类算法研究

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With the concepts of cloud computing springing up, the researches of data mining clustering algorithm which is based on cloud computing become a research focus for scholars both at home and abroad. This article aiming at the extensive data clustering problem, using cloud computing technology, according to Hadoop platform does a deep research based on cloud computing platforms Hadoop and parallel K-means clustering algorithm. And it puts forward a kind of mass data clustering model based on Hadoop and new ideas of parallel K-means algorithm.
机译:随着云计算概念的兴起,基于云计算的数据挖掘聚类算法的研究成为国内外学者的研究重点。本文针对广泛的数据聚类问题,利用云计算技术,根据Hadoop平台对云计算平台Hadoop和并行K均值聚类算法进行了深入研究。提出了一种基于Hadoop的海量数据聚类模型和并行K-means算法的新思想。

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