The following publications are possibly variants of this publication:
- Multi-view Clustering Based on Low-rank Representation and Adaptive Graph LearningYixuan Huang, Qingjiang Xiao, Shiqiang Du, Yao Yu. npl, 54(1):265-283, 2022. [doi]
- Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view ClusteringHaiyan Wang, Guoqiang Han, Bin Zhang, Yu Hu, Hong Peng, Chu Han, Hongmin Cai. bibm 2020: 821-826 [doi]
- Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene SelectionJuan Wang 0003, Li-hong Wang, Jin-Xing Liu, Xiang-Zhen Kong, Sheng-Jun Li. titb, 26(7):3578-3589, 2022. [doi]
- Low-rank representation with graph regularization for subspace clusteringWu He, Jim X. Chen, Weihua Zhang. soco, 21(6):1569-1581, 2017. [doi]
- Unbalanced incomplete multi-view clustering based on low-rank tensor graph learningGuangyan Ji, Gui-Fu Lu, Bing Cai, Yangfan Du. eswa, 225:120055, September 2023. [doi]