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
学科:软件工程
办公地点:大连理工大学开发区校区软件学院综合楼319
联系方式:18904111411
电子邮箱:xiaowei.zhao@dlut.edu.cn
Mixture Self-Paced Learning for Multi-view K-Means Clustering
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论文类型:会议论文
发表时间:2017-11-06
卷号:2018-January
页面范围:1210-1215
摘要:In our daily life, there are more and more data characterized by multiple features. In multi-view setting, the clusters estimated using single view have some limitations, and the quality of single view clustering can be improved by means of multi-view clustering. Self-paced learning simulates human learning process which can gradually combine information of views into clustering task from easy to complex. In this paper, we first propose a new mixture self-paced learning regularizer. To recap the effectiveness of regularizer, we combine it with robust multi-view k-means clustering and propose a new selfpaced learning based multi-view k-means (SPLMKM) clustering method. As a non-trivial contribution, we present the solution based on alternating minimization strategy. The comparative experiments reveal the benefit of our proposed method. © 2017 IEEE.