基于Hadoop云计算平台的聚类K-means算法的研究与实现

Research and Implementation of Clustering K-means Algorithm based on Hadoop Cloud Computing Platform

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 lar ge and small data..