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View all- Chen HZhang RDuan YWang RNie F(2025)Fast multi-view clustering via anchor label transmit with tensor structure constraintExpert Systems with Applications10.1016/j.eswa.2025.126878274(126878)Online publication date: May-2025
Robust Prototype Completion for Incomplete Multi-view Clustering
Authors: 
Honglin Yuan, Shiyun Lai, Xingfeng Li, Jian Dai, Yuan Sun, Zhenwen RenAuthors Info & Claims
Honglin Yuan, Shiyun Lai, Xingfeng Li, Jian Dai, Yuan Sun, Zhenwen RenAuthors Info & ClaimsPages 10402 - 10411
Abstract
In practical data collection processes, certain views may become partially unavailable due to sensor failures or equipment issues, leading to the problem of incomplete multi-view clustering (IMVC). While some IMVC methods employing prototype completion achieve satisfactory performance, almost all of them implicitly assume correct alignment of prototypes across all views. However, during prototype generation, different networks could generate different cluster centers, thereby leading to the produced prototypes from different views may be misaligned, \ie prototype noisy correspondence. To address this issue, we propose Robust Prototype Completion for Incomplete Multi-view Clustering (RPCIC), which mitigates the impact of noisy correspondence in prototypes. Specifically, RPCIC initially utilizes cross-view contrastive learning module to obtain consistent feature representations across different views. Subsequently, we devise robust contrastive loss for the produced prototypes, aiming to alleviate the influence of noisy correspondence within them. Finally, we employ prototype fusion-based strategy to complete the missing data. Comprehensive experiments demonstrate that RPCIC outperforms 11 state-of-the-art methods in terms of both performance and robustness. The code is available at https://github.com/hl-yuan/RPCIC.
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Index Terms
- Robust Prototype Completion for Incomplete Multi-view Clustering
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October 2024
11719 pages
ISBN:9798400706868
DOI:10.1145/3664647
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Published: 28 October 2024
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View all- Chen HZhang RDuan YWang RNie F(2025)Fast multi-view clustering via anchor label transmit with tensor structure constraintExpert Systems with Applications10.1016/j.eswa.2025.126878274(126878)Online publication date: May-2025
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