A Novel Minkowski-distance-based Consensus Clustering Algorithm

doi:10.1007/s11633-016-1033-z

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	A Novel Minkowski-distance-based Consensus Clustering Algorithm
	De-Gang Xu; Pan-Lei Zhao; Chun-Hua Yang; Wei-Hua Gui; Jian-Jun He
刊名	International Journal of Automation and Computing
	2017
卷号	14 期号:1 页码:33-44
关键词	Minkowski distance consensus clustering similarity matrix process data froth flotation.
ISSN号	1476-8186
DOI	10.1007/s11633-016-1033-z
文献子类	IJAC-IA-2016-01-028.pdf
英文摘要	Consensus clustering is the problem of coordinating clustering information about the same data set coming from different runs of the same algorithm. Consensus clustering is becoming a state-of-the-art approach in an increasing number of applications. However, determining the optimal cluster number is still an open problem. In this paper, we propose a novel consensus clustering algorithm that is based on the Minkowski distance. Fusing with the Newman greedy algorithm in complex networks, the proposed clustering algorithm can automatically set the number of clusters. It is less sensitive to noise and can integrate solutions from multiple samples of data or attributes for processing data in the processing industry. A numerical simulation is also given to demonstrate the effectiveness of the proposed algorithm. Finally, this consensus clustering algorithm is applied to a froth flotation process.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42464]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	College of Information Science and Engineering, Central South University, Changsha 410083, China
推荐引用方式 GB/T 7714	De-Gang Xu,Pan-Lei Zhao,Chun-Hua Yang,et al. A Novel Minkowski-distance-based Consensus Clustering Algorithm[J]. International Journal of Automation and Computing,2017,14(1):33-44.
APA	De-Gang Xu,Pan-Lei Zhao,Chun-Hua Yang,Wei-Hua Gui,&Jian-Jun He.(2017).A Novel Minkowski-distance-based Consensus Clustering Algorithm.International Journal of Automation and Computing,14(1),33-44.
MLA	De-Gang Xu,et al."A Novel Minkowski-distance-based Consensus Clustering Algorithm".International Journal of Automation and Computing 14.1(2017):33-44.