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automatic clustering using genetic algorithms
Liu Yongguo; Wu Xindong; Shen Yidong
2011
SourceApplied Mathematics and Computation
ISSN963003
Volume218Issue:4Pages:1267-1279
English AbstractIn face of the clustering problem, many clustering methods usually require the designer to provide the number of clusters as input. Unfortunately, the designer has no idea, in general, about this information beforehand. In this article, we develop a genetic algorithm based clustering method called automatic genetic clustering for unknown K (AGCUK). In the AGCUK algorithm, noising selection and division-absorption mutation are designed to keep a balance between selection pressure and population diversity. In addition, the Davies-Bouldin index is employed to measure the validity of clusters. Experimental results on artificial and real-life data sets are given to illustrate the effectiveness of the AGCUK algorithm in automatically evolving the number of clusters and providing the clustering partition. © 2011 Elsevier Inc. All rights reserved.
Indexed TypeEI
KeywordGenetic Algorithms
Department(1) School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; (2) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100191, China; (3) Key Laboratory of Symbolic Computation and Knowledge Engineering, Ministry of Education, Jilin University, Changchun 130012, China; (4) Department of Computer Science, University of Vermont, Burlington, VT 05405, United States
WOS IDWOS:000294302800013
Citation statistics
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/14059
Collection基础软件与系统重点实验室
Recommended Citation
GB/T 7714
Liu Yongguo,Wu Xindong,Shen Yidong. automatic clustering using genetic algorithms[J]. Applied Mathematics and Computation,2011,218(4):1267-1279.
APA Liu Yongguo,Wu Xindong,&Shen Yidong.(2011).automatic clustering using genetic algorithms.Applied Mathematics and Computation,218(4),1267-1279.
MLA Liu Yongguo,et al."automatic clustering using genetic algorithms".Applied Mathematics and Computation 218.4(2011):1267-1279.
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