Self-weighted graph learning for multi-view clustering

Xiaochuang Shu; Xiangdong Zhang; Qianqian Wang

doi:10.1016/j.neucom.2022.06.009

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Self-weighted graph learning for multi-view clustering

Xiaochuang Shu Xiangdong Zhang Qianqian Wang

Year: 2022 Journal: Neurocomputing Vol: 501 Pages: 188-196 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2022.06.009

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Keywords:

Cluster analysis Exploit Computer science Graph Clustering coefficient Similarity (geometry) Constraint (computer-aided design) Theoretical computer science Constrained clustering Tensor (intrinsic definition) Artificial intelligence Data mining Correlation clustering Pattern recognition (psychology) Mathematics CURE data clustering algorithm Image (mathematics)

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Tensor decomposition and applications

Physical Sciences → Mathematics → Computational Mathematics

Human Mobility and Location-Based Analysis

Social Sciences → Social Sciences → Transportation

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Self-weighted graph learning for multi-view clustering

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