文章基本信息

标题：Subspace Clustering Algorithm Based on Multi-rule Constraint
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作者：Huiping Li
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2014
卷号：9
期号：12
页码：107-116
DOI：10.14257/ijmue.2014.9.12.10
出版社：SERSC
摘要：For the fact that telecom data size is extremely huge and the management is much complicated, the paper proposes subspace clustering algorithm based on multi-rule constraint, to mine business knowledge information in a more efficient and accurate manner. By relying on K-means clustering algorithm, the method improves selection and mutation operation of genetic algorithms and thus corrects inappropriate choice of K-means initial clustering centers. Meanwhile, with the use of variable weighting strategy, data classification sparseness in the clustering is overcome. A fast and useful mining method is enabled for massive data. Results show its better performance in terms of computing efficiency, accuracy and ability.
关键词：data mining; telecommunications area; k-means; cloud computing