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a genetic algorithm with gene rearrangement for k-means clustering

文献类型:期刊论文

作者Chang Dong-Xia ; Zhang Xian-Da ; Zheng Chang-Wen
刊名PATTERN RECOGNITION
出版日期2009
卷号42期号:7页码:1210-1222
关键词Clustering Evolutionary computation Genetic algorithms K-means algorithm Remote sensing image
ISSN号0031-3203
学科主题Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic
收录类别SCI,EI,ACM,SCIENCEDIRECT
语种英语
WOS记录号WOS:000265365500002
公开日期2011-03-18
附注In this paper, a new clustering algorithm based on genetic algorithm (GA) with gene rearrangement (GAGR) is proposed, which in application may effectively remove the degeneracy for the purpose of a more efficient search. A new crossover operator that exploits a measure of similarity between chromosomes in a population is also presented. Adaptive probabilities of crossover and mutation are employed to prevent the convergence of the GAGR to a local optimum. Using the real-world data sets, we compare the performance of our GAGR clustering algorithm with K-means algorithm and other GA methods. An application of the GAGR clustering algorithm in unsupervised classification of multispectral remote sensing images is also provided. Experiment results demonstrate that the GAGR clustering algorithm has high performance, effectiveness and flexibility. (C) 2008 Elsevier Ltd. All rights reserved.
源URL[http://124.16.136.157/handle/311060/7962]  
专题软件研究所_软件所图书馆_2009年期刊/会议论文
推荐引用方式
GB/T 7714
Chang Dong-Xia,Zhang Xian-Da,Zheng Chang-Wen. a genetic algorithm with gene rearrangement for k-means clustering[J]. PATTERN RECOGNITION,2009,42(7):1210-1222.
APA Chang Dong-Xia,Zhang Xian-Da,&Zheng Chang-Wen.(2009).a genetic algorithm with gene rearrangement for k-means clustering.PATTERN RECOGNITION,42(7),1210-1222.
MLA Chang Dong-Xia,et al."a genetic algorithm with gene rearrangement for k-means clustering".PATTERN RECOGNITION 42.7(2009):1210-1222.

入库方式: OAI收割

来源:软件研究所

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