宗林林

个人信息Personal Information

副教授

硕士生导师

性别:女

毕业院校:大连理工大学

学位:博士

所在单位:软件学院、国际信息与软件学院

办公地点:综合楼217

联系方式:0411-62274513

电子邮箱:llzong@dlut.edu.cn

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Weighted Multi-View Spectral Clustering Based on Spectral Perturbation

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论文类型:会议论文

发表时间:2018-01-01

收录刊物:CPCI-S

页面范围:4621-4628

摘要:Considering the diversity of the views, assigning the multiviews with different weights is important to multi-view clustering. Several multi-view clustering algorithms have been proposed to assign different weights to the views. However, the existing weighting schemes do not simultaneously consider the characteristic of multi-view clustering and the characteristic of related single-view clustering. In this paper, based on the spectral perturbation theory of spectral clustering, we propose a weighted multi-view spectral clustering algorithm which employs the spectral perturbation to model the weights of the views. The proposed weighting scheme follows the two basic principles: 1) the clustering results on each view should be close to the consensus clustering result, and 2) views with similar clustering results should be assigned similar weights. According to spectral perturbation theory, the largest canonical angle is used to measure the difference between spectral clustering results. In this way, the weighting scheme can be formulated into a standard quadratic programming problem. Experimental results demonstrate the superiority of the proposed algorithm.