Spectral clustering based on iterative optimization for large-scale and high-dimensional data

doi:10.1016/j.neucom.2018.08.059

OPT OpenIR > 光谱成像技术研究室

	Spectral clustering based on iterative optimization for large-scale and high-dimensional data
	Zhao, Yang 1,2; Yuan, Yuan1 ; Nie, Feiping 3; Wang, Qi3,4
作者部门	光学影像学习与分析中心
	2018-11-27
发表期刊	Neurocomputing
ISSN	09252312;18728286
卷号	318 页码:227-235
产权排序	1
摘要	Spectral graph theoretic methods have been a fundamental and important topic in the field of manifold learning and it has become a vital tool in data clustering. However, spectral clustering approaches are limited by their computational demands. It would be too expensive to provide an optimal approximation for spectral decomposition in dealing with large-scale and high-dimensional data sets. On the other hand, the rapid development of data on the Web has posed many rising challenges to the traditional single-task clustering, while the multi-task clustering provides many new thoughts for real-world applications such as video segmentation. In this paper, we will study a Spectral Clustering based on Iterative Optimization (SCIO), which solves the spectral decomposition problem of large-scale and high-dimensional data sets and it well performs on multi-task clustering. Extensive experiments on various synthetic data sets and real-world data sets demonstrate that the proposed method provides an efficient solution for spectral clustering. ? 2018 Elsevier B.V.
关键词	Manifold Learning Spectral Clustering Multi-task Learning
DOI	10.1016/j.neucom.2018.08.059
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000445763500021
出版者	Elsevier B.V.
EI入藏号	20183805820586
引用统计	被引频次：27[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/30632
专题	光谱成像技术研究室
通讯作者	Wang, Qi
作者单位	1.Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an; 710119, China; 2.University of Chinese Academy of Sciences, Beijing; 100049, China; 3.School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an; 710072, China; 4.Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an; 710072, China
推荐引用方式 GB/T 7714	Zhao, Yang,Yuan, Yuan,Nie, Feiping,et al. Spectral clustering based on iterative optimization for large-scale and high-dimensional data[J]. Neurocomputing,2018,318:227-235.
APA	Zhao, Yang,Yuan, Yuan,Nie, Feiping,&Wang, Qi.(2018).Spectral clustering based on iterative optimization for large-scale and high-dimensional data.Neurocomputing,318,227-235.
MLA	Zhao, Yang,et al."Spectral clustering based on iterative optimization for large-scale and high-dimensional data".Neurocomputing 318(2018):227-235.

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