OPT OpenIR  > 光学影像学习与分析中心
Spectral clustering based on iterative optimization for large-scale and high-dimensional data
Zhao, Yang1,2; Yuan, Yuan1; Nie, Feiping3; 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
ISSN09252312;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
DOI10.1016/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
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/30632
专题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.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Spectral clustering (1282KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhao, Yang]的文章
[Yuan, Yuan]的文章
[Nie, Feiping]的文章
百度学术
百度学术中相似的文章
[Zhao, Yang]的文章
[Yuan, Yuan]的文章
[Nie, Feiping]的文章
必应学术
必应学术中相似的文章
[Zhao, Yang]的文章
[Yuan, Yuan]的文章
[Nie, Feiping]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Spectral clustering based on iterative optimization for large-scale and high-dimensional data.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

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。