"multi-view clustering" Papers

15 papers found

AF-UMC: An Alignment-Free Fusion Framework for Unaligned Multi-View Clustering

Bohang Sun, Yuena Lin, Tao Yang et al.

NEURIPS 2025

Anchor Learning with Potential Cluster Constraints for Multi-view Clustering

Yawei Chen, Huibing Wang, Jinjia Peng et al.

AAAI 2025paperarXiv:2412.16519
5
citations

COPER: Correlation-based Permutations for Multi-View Clustering

Ran Eisenberg, Jonathan Svirsky, Ofir Lindenbaum

ICLR 2025
4
citations

EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering

Baili Xiao, Zhibin Dong, KE LIANG et al.

CVPR 2025
1
citations

Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence

Xihong Yang, Siwei Wang, Jiaqi Jin et al.

ICCV 2025arXiv:2509.16022

Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering

Yiming Wang, Qun Li, Dongxia Chang et al.

NEURIPS 2025

Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering

Liang Chen, Zhe Xue, Yawen Li et al.

CVPR 2025
1
citations

SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering

Zeyu Zhu, KE LIANG, Lingyuan Meng et al.

NEURIPS 2025

SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering

Ruimeng Liu, Xin Zou, Chang Tang et al.

NEURIPS 2025spotlight

Towards Learnable Anchor for Deep Multi-View Clustering

Bocheng Wang, Chusheng Zeng, Mulin Chen et al.

AAAI 2025paperarXiv:2503.12427
5
citations

Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework

Haonan Huang, Guoxu Zhou, Yanghang Zheng et al.

ICML 2024

Decoupled Contrastive Multi-View Clustering with High-Order Random Walks

Yiding Lu, Yijie Lin, Mouxing Yang et al.

AAAI 2024paperarXiv:2308.11164
92
citations

Differentiable Information Bottleneck for Deterministic Multi-view Clustering

Xiaoqiang Yan, Zhixiang Jin, Fengshou Han et al.

CVPR 2024arXiv:2403.15681
17
citations

Multi-View Clustering by Inter-cluster Connectivity Guided Reward

Hao Dai, Yang Liu, Peng Su et al.

ICML 2024

Multi-View Stochastic Block Models

Vincent Cohen-Addad, Tommaso d'Orsi, Silvio Lattanzi et al.

ICML 2024arXiv:2406.04860
1
citations