硕士生导师
个人信息Personal Information
学历：博士研究生毕业
学位：工学博士学位
办公地点：犀浦3号教学楼31529
毕业院校：四川大学
学科：电子信息. 软件工程. 计算机应用技术
所在单位：计算机与人工智能学院
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Multi-view data clustering via non-negative matrix factorization with manifold regularization
DOI码：10.1007/s13042-021-01307-7
所属单位：西南交通大学
发表刊物：International Journal of Machine Learning and Cybernetics
刊物所在地：GERMANY
关键字：Non-negative matrix factorization; Multi-view clustering; Manifold regularization; Weighted view
摘要：Nowadays, non-negative matrix factorization (NMF) based cluster analysis for multi-view data shows impressive behavior in machine learning. Usually, multi-view data have complementary information from various views. The main concern behind the NMF is how to factorize the data to achieve a significant clustering solution from these complementary views. However, NMF does not focus to conserve the geometrical structures of the data space. In this article, we intensify on the above issue and evolve a new NMF clustering method with manifold regularization for multi-view data. The manifold regularization factor is exploited to retain the locally geometrical structure of the data space and gives extensively common clustering solution from multiple views. The weight control term is adopted to handle the distribution of each view weight. An iterative optimization strategy depended on multiplicative update rule is applied on the objective function to achieve optimization. Experimental analysis on the real-world datasets are exhibited that the proposed approach achieves better clustering perfor- mance than some state-of-the-art algorithms.
合写作者：Tianrui Li,Bassoma Diallo,Hongjun Wang
第一作者：Ghufran Ahmad Khan
论文类型：SCI
通讯作者：Jie Hu
学科门类：工学
文献类型：J
卷号：13
页面范围：677-689
ISSN号：1868-8071
是否译文：否
发表时间：2021-03-21
收录刊物：SCI