Incomplete multi-view clustering based on weighted sparse and low rank representation

Liang Zhao; Jie Zhang; Tao Yang; Zhikui Chen

doi:10.1007/s10489-022-03246-4

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Incomplete multi-view clustering based on weighted sparse and low rank representation

Liang Zhao Jie Zhang Tao Yang Zhikui Chen

Year: 2022 Journal: Applied Intelligence Vol: 52 (13)Pages: 14822-14838 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-022-03246-4

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Keywords:

Computer science Cluster analysis Artificial intelligence Graph Machine learning Constrained clustering Feature learning Consistency (knowledge bases) Data mining Pattern recognition (psychology) Correlation clustering CURE data clustering algorithm Theoretical computer science

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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

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Incomplete multi-view clustering based on weighted sparse and low rank representation

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