Graph Learning Regularized Non-negative Matrix Factorization for Image Clustering

Xianzhong Long; Jian Xiong; Yun Li

doi:10.1007/978-3-030-63823-8_41

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Graph Learning Regularized Non-negative Matrix Factorization for Image Clustering

Xianzhong Long Jian Xiong Yun Li

Year: 2020 Communications in computer and information science Pages: 351-360 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-63823-8_41

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Keywords:

Multiplicative function Non-negative matrix factorization Matrix decomposition Cluster analysis Graph Computer science Adjacency matrix Artificial intelligence Theoretical computer science Mathematics Algorithm Eigenvalues and eigenvectors

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Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Graph Learning Regularized Non-negative Matrix Factorization for Image Clustering

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