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Spectral clustering based on iterative optimization for large-scale and high-dimensional data
Zhao, Yang1,2; Yuan, Yuan1; Nie, Feiping3; Wang, Qi3,4
Department光学影像学习与分析中心
2018-11-27
Source PublicationNeurocomputing
ISSN09252312;18728286
Volume318Pages:227-235
Contribution Rank1
AbstractSpectral 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.
KeywordManifold Learning Spectral Clustering Multi-task Learning
DOI10.1016/j.neucom.2018.08.059
Indexed BySCI ; EI
Language英语
WOS IDWOS:000445763500021
PublisherElsevier B.V.
EI Accession Number20183805820586
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Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30632
Collection光学影像学习与分析中心
Corresponding AuthorWang, Qi
Affiliation1.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
Recommended Citation
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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