Fast multiple graphs learning for multi-view clustering

DOI10.1016/J.NEUNET.2022.08.027WikidataQ114950030 ScholiaQ114950030MaRDI QIDQ6488728

Tianyu Jiang, Quan-Xue Gao

Publication date: 18 October 2023

Published in: Neural Networks (Search for Journal in Brave)

zbMATH Keywords

clusteringmulti-view learninggraph learning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

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• Multiple graphs learning with a new weighted tensor nuclear norm
• Low-rank tensor constrained co-regularized multi-view spectral clustering
• Beyond low-rank representations: orthogonal clustering basis reconstruction with optimized graph structure for multi-view spectral clustering
• On unifying multi-view self-representations for clustering by tensor multi-rank minimization
• Re-Weighted Discriminatively Embedded $K$ -Means for Multi-View Clustering
• Essential Tensor Learning for Multi-View Spectral Clustering

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