Multi-view clustering by virtually passing mutually supervised smooth messages
From MaRDI portal
Publication:6199782
DOI10.1016/j.ins.2022.03.071OpenAlexW4221133624MaRDI QIDQ6199782
Shi-Tong Wang, Suhang Gu, Fu-lai Chung
Publication date: 28 February 2024
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2022.03.071
Cites Work
- Unnamed Item
- Unnamed Item
- Clustering by Passing Messages Between Data Points
- Transfer affinity propagation-based clustering
- Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold
- Multi-view clustering via multi-manifold regularized non-negative matrix factorization
- Deep low-rank subspace ensemble for multi-view clustering
- Joint specific and correlated information exploration for multi-view action clustering
- Factor graphs and the sum-product algorithm
- On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs
- Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus
- A Binary Variable Model for Affinity Propagation
This page was built for publication: Multi-view clustering by virtually passing mutually supervised smooth messages