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Author:

李兴 (李兴.)

Indexed by:

CQVIP

Abstract:

聚类算法已经在很多领域有着广泛的应用,对于大多数的数据集,其中的属性不完全是数值型的,这就给聚类带来了困难。K-Prototypes算法的出现,解决了混合型属性聚类的困难,但其计算重复繁琐,给编程人员带来了大量的困难。Hadoop分布式系统的出现,给编写并行化的K-Prototypes算法提供了可能,这就能提高程序的并行化从而大幅度提高程序的效率。文章正是在此技术前提下,设计的并行化程序。

Keyword:

数据挖掘算法 Hadoop 并行化

Author Community:

  • [ 1 ] [李兴]北京工业大学

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Source :

信息通信

ISSN: 1673-1131

Year: 2014

Issue: 4

Page: 68-68,69

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count: 1

Chinese Cited Count:

30 Days PV: 1

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