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Application and Research of Data Partition in Large Scale Database During Clustering
大规模数据集聚类中的数据分区及应用研究*

Keywords: Data Mining,Cluster,Data Partition,Parallel Clustering
数据挖掘
,聚类,数据分区,并行聚类,大规模,数据集聚类,数据分区,应用,研究,Clustering,During,Database,Scale,Large,Partition,Research,数据量,预处理,分区技术,效率,聚类算法,影响,聚类质量,均匀

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Abstract:

People raised many algorithms, but there are many disadvantages, for example, much computing especially in large scale database, demanding for large volume of memory support and so on. Furthermore clustering quality will be affected when the cluster density and the distance between clusters are not even. In order to improve the efficiency and quality,this paper adopt pretreatment technology named data partition before clustering. After that, the number of data points is less and the distribution of data points is even.

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