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《Journal of Sichuan University(Engineering Science Edition)》 2007-06
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An Auto-clustering Algorithm Based on Gene Expression Programming

CHEN Yu,TANG Chang-jie,YE Shang-yu,LI Chuan,JIANG Yue,LIU Qi-hong(School of Computer Sci.,Sichuan Univ.,Chengdu 610064,China)  
Many clustering algorithms have to need a number of clusters before clustering.In order to tackle this problem,a novel GEP-Cluster(Gene Expression Programming-clustering) algorithm was proposed.The main contributions include: 1) proposing the GEP-Cluster algorithm to find the best clustering via GEP evolution,2) proposing AMCA algorithm to auto merge cluster,3) finding the best clustering without any priori knowledge by the GEP-Cluster algorithm.Extensive experiments showed that GEP-Cluster algorithm is effective in clustering without any domain knowledge,and the average clustering accuracy is almost 96%.
【Fund】: 国家自然科学基金(60473071);; 高等学校博士学科点专项科研基金SRFDP(20020610007)资助项目
【CateGory Index】: TP311.11
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【Co-citations】
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1 LIU Hai-tao1a,2,YUAN Chang-an1b,LI Gui-lai2,1b(1.Guangxi Teachers Education University a.College of Resources & Environment Science;b.Department of Information & Technology,Nanning 530001,China; 2.Information College,Linyi Normal University,Linyi Shandong 276005 China;);The Development and Application of Spatial Data Mining Technology Based on Bionics[J];Journal of Guangxi Teachers Education University(Natural Science Edition);2009-02
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