计算机应用与软件2024，Vol.41Issue(5)：254-263,10.DOI:10.3969/j.issn.1000-386x.2024.05.039
基于一致引导的不完全多视图聚类
INCOMPLETE MULTIPLE VIEW CLUSTERING BASED ON CONSISTENT GUIDANCE
摘要
Abstract
In order to solve the problems of poor effect and weak generalization ability of traditional clustering methods,an incomplete multiple view clustering method based on consistent guidance is proposed.Graph learning and consistent representation learning were integrated into a joint framework to make full use of multiple view data information.The adaptive learning weight vector was introduced to balance the influence of different views,and the joint regularization representation learning strategy provided more freedom for consistent representation learning.An alternative iterative optimization algorithm was proposed to optimize the clustering.Experimental results on seven data sets show that the proposed method can effectively improve the effect of incomplete multiple view clustering.关键词
多视图聚类/一致引导/图学习/正则化/自适应Key words
Multiple view clustering/Consistent guidance/Graph learning/Regularization/Adaptive algorithm分类
信息技术与安全科学引用本文复制引用
安萍,彭军龙..基于一致引导的不完全多视图聚类[J].计算机应用与软件,2024,41(5):254-263,10.基金项目
湖南省自然科学基金重大项目(2015JJ2004). （2015JJ2004）
