Learning robust affinity graph representation for multi-view clustering

Peiguang Jing; Yuting Su; Zhengnan Li; Liqiang Nie

doi:10.1016/j.ins.2020.06.068

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JOURNAL ARTICLE

Learning robust affinity graph representation for multi-view clustering

Peiguang Jing Yuting Su Zhengnan Li Liqiang Nie

Year: 2020 Journal: Information Sciences Vol: 544 Pages: 155-167 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2020.06.068

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Keywords:

Spectral clustering Computer science Cluster analysis Graph Laplacian matrix Embedding Nonlinear dimensionality reduction Hypergraph Feature selection Affinity propagation Artificial intelligence Data mining Theoretical computer science Pattern recognition (psychology) Dimensionality reduction Mathematics Correlation clustering Canopy clustering algorithm

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Computing and Algorithms

Social Sciences → Social Sciences → Urban Studies

Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Learning robust affinity graph representation for multi-view clustering

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