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题名: Automatic estimation the number of clusters in hierarchical data clustering
作者: Zang CZ(臧传治) ; Chen B(陈波)
作者部门: 工业信息学研究室
会议名称: 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2010
会议日期: July 15-17, 2010
会议地点: QingDao, China
会议录: Proceedings of 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2010
会议录出版者: IEEE Computer Society
会议录出版地: Piscataway, NJ
出版日期: 2010
页码: 269-274
收录类别: EI
ISBN号: 9781424471010
关键词: Clustering algorithms ; Embedded systems ; Mechatronics
摘要: Emergent pattern recognition is crucially needed for a real-time monitoring network to recognize emerging behavior of a physical system from sensor measurement data. To achieve effective emergent pattern recognition, one of the challenging problems is to determine the number of data clusters automatically. This paper studies the performance of the model-based clustering approach and using the knee of an evaluation graph for the estimation of the number of clusters. The working principle of these two methods is presented in the article. Both methods have been used for the classification of damage patterns for a benchmark civil structure. The performance of these two methods on determining the number of clusters and classification success rate is discussed. © 2010 IEEE.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8336
Appears in Collections:工业信息学研究室_会议论文

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