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Analysis on local optimum existence form of K-means-type
Zhang CN(张承宁); Xia QH(夏庆华); Zhao, Fei; Zou YY(邹媛媛)
作者部门装备制造技术研究室
会议名称13th International Conference on Control Automation Robotics & Vision (ICARCV)
会议日期December 10-12, 2014
会议地点Singapore, Singapore
会议录名称2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
出版者IEEE
出版地Piscataway, NJ, USA
2014
页码358-364
收录类别EI ; CPCI(ISTP)
EI收录号20151600767458
WOS记录号WOS:000393395800064
产权排序2
ISBN号978-1-4799-5199-4
关键词Clustering K-means Local Optimum
摘要With the hypothesis of Gaussian distribution of patterns, K-means and its extensions are good for clustering. As the representative of partitional clustering algorithm, K-means follows rules for running: numbers of clusters to be set, cluster initialization to be specified and certain objective function to be optimized. In general, FCM, ANN, EM share the identical idea with K-means in the beginning of running, and local optimum is the basic perspective of these K-means-type clustering methods. How numbers of clusters and cluster initialization affect local optimum existence is the query of this paper, the analysis will be given. In this paper, K-means-type algorithms are summarized, convergence proof will be shown, local optimum existence form is analyzed in detail and the classical probability expression of the existence is presented.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/16109
专题装备制造技术研究室
通讯作者Zhang CN(张承宁)
作者单位1.Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
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GB/T 7714
Zhang CN,Xia QH,Zhao, Fei,et al. Analysis on local optimum existence form of K-means-type[C]. Piscataway, NJ, USA:IEEE,2014:358-364.
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