中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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; Nie, Feiping3; Wang, Qi3,4
刊名Neurocomputing
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
DOI10.1016/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

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。