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Locally incremental visual cluster analysis using Markov random field

文献类型：期刊论文

作者Zhou, Zhen; Zhong, Li; Wang, Liang
刊名NEUROCOMPUTING
出版日期2014-07-20
卷号136页码:49-55
关键词Visual cluster analysis Markov random field Visual assessment tendency
英文摘要Clustering methods are widely deployed in the fields of data mining and pattern recognition. Many of them require the number of clusters as the input, which may not be practical when it is totally unknown. Several existing visual methods for cluster tendency assessment can be used to estimate the number of clusters by displaying the pairwise dissimilarity matrix into an intensity image where objects are reordered to reveal the hidden data structure as dark blocks along the diagonal. A major limitation of the existing methods is that they are not capable to highlight cluster structure with complex clusters. To address this problem, this paper proposes an effective approach by using Markov Random Fields, which updates each object with its local information dynamically and maximizes the global probability measure. The proposed method can be used to determine the cluster tendency and partition data simultaneously. Experimental results on synthetic and real-world datasets demonstrate the effectiveness of the proposed method. (C) 2014 Elsevier B.V. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]LARGE DATA SETS ; TENDENCY ASSESSMENT ; NUMBER
收录类别SCI
语种英语
WOS记录号WOS:000335708800006
源URL[http://ir.ia.ac.cn/handle/173211/3811]  
专题自动化研究所_智能感知与计算研究中心
作者单位Chinese Acad Sci, Ctr Res Intelligent Percept & Comp, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhou, Zhen,Zhong, Li,Wang, Liang. Locally incremental visual cluster analysis using Markov random field[J]. NEUROCOMPUTING,2014,136:49-55.
APA Zhou, Zhen,Zhong, Li,&Wang, Liang.(2014).Locally incremental visual cluster analysis using Markov random field.NEUROCOMPUTING,136,49-55.
MLA Zhou, Zhen,et al."Locally incremental visual cluster analysis using Markov random field".NEUROCOMPUTING 136(2014):49-55.

入库方式： OAI收割

来源：自动化研究所

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