Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering-Reference-Cited by-同舟云学术

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Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering

Published:2023-03 Issue: Volume:91 Page:364-375
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Cai Xiaosha,Huang Dong^ORCID,Zhang Guang-Yu,Wang Chang-Dong

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Guangzhou Science and Technology Program key projects

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference63 articles.

1. A survey on multiview clustering;Chao;IEEE Trans. Artif. Intell.,2021

2. A co-training approach for multi-view spectral clustering;Kumar,2011

3. Co-regularized multi-view spectral clustering;Kumar,2011

4. Co-regularized kernel k-means for multi-view clustering;Ye,2016

5. Kernel-based weighted multi-view clustering;Tzortzis,2012

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1. Multi-view clustering via dynamic unified bipartite graph learning;Pattern Recognition;2024-12

2. Learning clustering-friendly representations via partial information discrimination and cross-level interaction;Neural Networks;2024-12

3. View-shuffled clustering via the modified Hungarian algorithm;Neural Networks;2024-11

4. Tensorized Incomplete Multi-view Kernel Subspace Clustering;Neural Networks;2024-11

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