Locally incremental visual cluster analysis using Markov random field | |
Zhou, Zhen![]() ![]() | |
发表期刊 | NEUROCOMPUTING
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2014-07-20 | |
卷号 | 136期号:136页码:49-55 |
文章类型 | Article |
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. |
关键词 | Visual Cluster Analysis Markov Random Field Visual Assessment Tendency |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | LARGE DATA SETS ; TENDENCY ASSESSMENT ; NUMBER |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000335708800006 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/3811 |
专题 | 模式识别实验室 |
作者单位 | Chinese Acad Sci, Ctr Res Intelligent Percept & Comp, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
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(136):49-55. |
APA | Zhou, Zhen,Zhong, Li,&Wang, Liang.(2014).Locally incremental visual cluster analysis using Markov random field.NEUROCOMPUTING,136(136),49-55. |
MLA | Zhou, Zhen,et al."Locally incremental visual cluster analysis using Markov random field".NEUROCOMPUTING 136.136(2014):49-55. |
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