Spectral clustering based on iterative optimization for large-scale and high-dimensional data
文献类型:期刊论文
作者 | Zhao, Yang1,2; Yuan, Yuan1![]() ![]() |
刊名 | Neurocomputing
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出版日期 | 2018-11-27 |
卷号 | 318页码:227-235 |
关键词 | Manifold Learning Spectral Clustering Multi-task Learning |
ISSN号 | 09252312;18728286 |
DOI | 10.1016/j.neucom.2018.08.059 |
产权排序 | 1 |
英文摘要 | 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. |
语种 | 英语 |
WOS记录号 | WOS:000445763500021 |
出版者 | Elsevier B.V. |
源URL | [http://ir.opt.ac.cn/handle/181661/30632] ![]() |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
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. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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