HIGHLIGHTS
- who: Multiview Subspace Clustering via et al. from the (UNIVERSITY) have published the paper: Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph, in the Journal: (JOURNAL)
- what: The authors propose a method (LSGMC) based on consistency and Specifically considering the consistent information the authors pursue a consistent structure across views by decomposing the coefficient matrix into three factors. The authors provide brief review about multiview clustering, LRR-based multiview subspace clustering and Schatten p-norm. A. Notation For straightforward representation, most notations used in this Article are shown in Table I. B. Multiview Clustering . . .
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