HIGHLIGHTS
- who: Sparse Dual, Graph-Regularized Deep and WEIYU, GUO from the School of Computer Science and Technology, Shandong Academy of Sciences, Qilu University of Technology, Jinan, China have published the research: Sparse Dual Graph-Regularized Deep Nonnegative Matrix Factorization for Image Clustering, in the Journal: (JOURNAL)
- what: The authors propose a novel approach to address the above two problems referred to as Nonnegative Matrix Factorization (SDG NMF) which can learn and informative features while sufficiently exploring the local invariance of the data to discover valuable information underlying the input data. Before introducing the SDG Deep . . .
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