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《Engineering of Surveying and Mapping》 2009-01
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The comparative research of initializing cluster centers for unsupervised classification

WEI Cong-ling1,FU Li-ping2 (1.College of Geography Science,Southwest University,Chongqing 400715,China;2.Dept.of Information Engineering,Henan Economic Management School,Nanyang 473000,China)  
The initializing cluster centers have important influence on the classification process and result of the remote sensing image for unsupervised classification.A good initializing cluster center can improve the efficiency and precision for the classification.In this paper,as estimation standards,the distance between classes and the standard deviation in class were selected,and according to them,some initializing cluster centers were compared.The results showed that the most-least distance method has higher precision and lower efficiency,and the means-standard deviation method has lower precision and higher efficiency.
【CateGory Index】: TP751
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1 DENG Ji-hui1,CHEN Bo-lin2,WU Xiao-ning1,XIE Gui-hua3(1.Chongqing Design and Research Institute,Sino-coal International Engineering Group,Chongqing400016,China;2.Chongqing Geology and Minerals Research Institute,Chongqing 400016,China;3.Machinery and Industry NO.3 Design and Research Institute,Chongqing 400016,China);Self-organized Cluster Analysis on Texture Plane Occurrence of Rock Mass[J];Journal of Yangtze River Scientific Research Institute;2011-03
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【Co-references】
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1 WANG Zhong-hua~1,WANG Sheng-qian~2,DENG Cheng-zhi~1,LIU Zhong-hua~1 (1.Department of applied physics Jiangxi Science & Technology Normal University,Nanchang 330013,China; nchang,Jiangxi 330027,China);Wavelet Edge Detection Based on Inter-scale Indenpdency[J];Journal of Jiangxi Normal University (Natural Sciences Edition);2004-05
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1 Wu Jinglan 1 Zhu Wenxing 21 (Department of Computer Science,Minjiang College,Fuzhou350002) 2 (Department of Computer Science and Technology,Fuzhou University,Fuzhou350002);An Iterated Local Search Algorithm for K-Means Clustering[J];Computer Engineering and Applications;2004-22
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