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题名:
cluster analysis and optimization in color-based clustering for image abstract
作者: He Jing ; Huang Guangyan ; Zhang Yanchun ; Shi Yong
会议文集: Proceedings - IEEE International Conference on Data Mining, ICDM
会议名称: 17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007
会议日期: 40844
出版日期: 2007
会议地点: Omaha, NE, United states
关键词: Abstracting ; Administrative data processing ; Chlorine compounds ; Clustering algorithms ; Color ; Data mining ; Decision support systems ; Flow of solids ; Information management ; Knowledge management ; Mining ; Optical properties ; Optimization ; Ran
出版地: United States
收录类别: ei
ISSN: 15504786
ISBN: 769530192
部门归属: (1) School of Computer Science and Mathematics, Victoria University, Australia; (2) Institute of Software, Chinese Academy of Sciences, Beijing 100080, China; (3) Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing
英文摘要: Cluster analysis has been identified as a core task in data mining. What constitutes a cluster, or a good clustering, may depend on the background of researchers and applications. This paper proposes two optimization criteria of abstract degree and fideli
语种: 英语
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/10902
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
He Jing,Huang Guangyan,Zhang Yanchun,et al. cluster analysis and optimization in color-based clustering for image abstract[C]. 见:17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007. Omaha, NE, United states. 40844.
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