文章基本信息

标题：An Efficient Hierarchical Agglomerative ClusteringAlgorithm in Distributed Cloud Computing Environment
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作者：R.Anitha ; Dr.M.Mayilvaganan
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：7
页码：13364
DOI：10.15680/IJIRSET.2017.0607141
出版社：S&S Publications
摘要：This paper describes about how clustering algorithms are used in cloud computing. Cloud computingis a big shift from the traditional way business think about IT resources. Today’s cloud computing technologyhas been emerged to manage large data sets efficiently and due to rapid growth of data. To perform data mining it isrequired to merge distributed data and perform data mining algorithm on it. This document describes about Howhierarchical Agglomerative algorithm used for large dataset and increase efficiency by executing task in parallelthe result shows that with increase in data set linear growth of execution time and finding the efficiency of the executiontime between the hierarchical clustering methods.
关键词：Cloud Computing; Hierarchical Agglomerative Clustering; virtual k mean; star cluster.