计算机工程2026，Vol.52Issue(6)：96-108,13.DOI:10.19678/j.issn.1000-3428.0070348
具有分组效应的多样性诱导多视图子空间聚类算法
Diversity-induced Multi-view Subspace Clustering Algorithm with Grouping Effect
摘要
Abstract
The multi-view subspace clustering algorithm,a type of multi-view clustering algorithm,emphasizes discovering potential subspaces in multi-view data and clustering based on these subspaces.The Multi-view Subspace Clustering algorithm with Grouping Effects(MvSCGE)is also a type of multi-view subspace clustering algorithm.The basic principle is to learn the subspace representation of each view through smooth regularization,while ensuring cross view consistency,and ultimately learning a consistent clustering index matrix.The clustering results are obtained after processing.However,this algorithm only considers the local structure of a single view and has certain limitations.To further explore the diversity between views,this paper proposes a Diversity-induced Multi-view Subspace Clustering algorithm with Grouping Effect(DiMvSCGE).It preserves the local structure of each view while using the Hilbert-Schmidt Independence Criterion(HSIC)to measure the diversity between views,and iteratively uses alternating direction minimization on this basis.Based on the clustering index matrix obtained after the iterations,k-means clustering is performed to obtain the final result.Comparative experiments with several advanced algorithms on four public datasets show that this algorithm offers advantages,such as low parameter sensitivity and fast convergence speed,and demonstrates good performance on different datasets.关键词
多视图/视图分组效应/子空间聚类/多样性诱导/互补性原则Key words
multiple views/view grouping effect/subspace clustering/diversity induction/principle of complementarity分类
信息技术与安全科学引用本文复制引用
张悦辰,葛洪伟,李婷..具有分组效应的多样性诱导多视图子空间聚类算法[J].计算机工程,2026,52(6):96-108,13.基金项目
国家自然科学基金(52374155) （52374155）
安徽省自然科学基金(2308085MF218). （2308085MF218）
