The following publications are possibly variants of this publication:
- Multi-graph fusion for multi-view spectral clusteringZhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu. kbs, 189, 2020. [doi]
- Adaptive sparse graph learning for multi-view spectral clusteringQingjiang Xiao, Shiqiang Du, Kaiwu Zhang, Jinmei Song, Yixuan Huang. apin, 53(12):14855-14875, June 2023. [doi]
- Adaptive partial graph learning and fusion for incomplete multi-view clusteringXiao Zheng, Xinwang Liu, Jiajia Chen, En Zhu. ijis, 37(1):991-1009, 2022. [doi]
- Multi-view subspace clustering via adaptive graph learning and late fusion alignmentChuan Tang, Kun Sun 0002, Chang Tang, Xiao Zheng, Xinwang Liu, Jun-Jie Huang, Wei Zhang 0049. NN, 165:333-343, August 2023. [doi]
- Heterogeneous multi-metric learning for multi-sensor fusionHaichao Zhang, Thomas S. Huang, Nasser M. Nasrabadi, Yanning Zhang. fusion 2011: 1-8 [doi]
- Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace ClusteringPei Zhang, Siwei Wang, Jingtao Hu, Zhen Cheng, Xifeng Guo 0001, En Zhu, Zhiping Cai. sensors, 20(20):5755, 2020. [doi]
- Multi-kernel graph fusion for spectral clusteringBo Zhou, Wenliang Liu, Wenzhen Zhang, Zhengyu Lu, Qianlin Tan. ipm, 59(5):103003, 2022. [doi]
- Detection of shilling attacks in recommender systems via spectral clusteringZhuo Zhang, Sanjeev R. Kulkarni. fusion 2014: 1-8 [doi]