基于Hadoop云计算平台的聚类K-means算法的研究与实现
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摘要
随着社会的发展,我国的各行各业得到了飞速的发展,尤其是在现如今信息化飞速发展的社会形势下,信息技术得以不断创新和研发,计算机数据库技术也在发展过程中被人们广泛应用于工作与生活中。在不断应用数据库技术的过程中,由于数据信息不断扩增,对聚类算法的发展提出了很大的挑战。基于此,通过对基于Hadoop云计算平台的聚类K-means算法展开深入的研究,提出优化其算法的相应的策略,从而实现大小多数据的多功能特性。
With the development of society, all walks of life in our country have been developing rapidly, especially in the present social situation where information is developing rapidly, information technology has been continuously developed and researched, and computer database technology has also been widely used in work and life. In the process of continuous application of database technology, due to the continuous expansion of data information, it brings great challenge to the development of clustering algorithm. Based on this, the clustering algorithm of K-means based on Hadoop cloud computing platform is studied in depth, and the corresponding strategies to optimize the algorithm are proposed, so as to realize the multi functions of large and small data..
With the development of society, all walks of life in our country have been developing rapidly, especially in the present social situation where information is developing rapidly, information technology has been continuously developed and researched, and computer database technology has also been widely used in work and life. In the process of continuous application of database technology, due to the continuous expansion of data information, it brings great challenge to the development of clustering algorithm. Based on this, the clustering algorithm of K-means based on Hadoop cloud computing platform is studied in depth, and the corresponding strategies to optimize the algorithm are proposed, so as to realize the multi functions of large and small data..
引文
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[8]刘珊珊.基于云计算平台Hadoop的聚类神经网络算法的研究与实现[D].贵阳:贵州大学,2016.
[9]张程飞.基于Hadoop平台的K-Medoids聚类算法的研究与优化[D].西安:西安电子科技大学,2015.
[2]刘洋.基于Hadoop云计算平台的K-Means聚类算法研究[D].哈尔滨:哈尔滨理工大学,2017.
[3]卢胜宇,王静宇,张晓琳,等.基于Hadoop平台的K-means聚类算法优化研究[J].内蒙古科技大学学报,2016(3):264-268.
[4]李萍.基于Hadoop的K-Means聚类算法在高校图书馆工作中的应用研究[J].图书情报论坛,2014(2):30-35.
[5]赵卫中,马慧芳,傅燕翔,等.基于云计算平台Hadoop的并行k-means聚类算法设计研究[J].计算机科学,2011(10):166-168,176.
[6]张石磊,武装.一种基于Hadoop云计算平台的聚类算法优化的研究[J].计算机科学,2012,39(s2):115-118.
[7]谢雪莲,李兰友.基于云计算的并行K-means聚类算法研究[J].计算机测量与控制,2014,22(5):1510-1512.
[8]刘珊珊.基于云计算平台Hadoop的聚类神经网络算法的研究与实现[D].贵阳:贵州大学,2016.
[9]张程飞.基于Hadoop平台的K-Medoids聚类算法的研究与优化[D].西安:西安电子科技大学,2015.