Low-Rank Tensor Regularized Views Recovery for Incomplete Multiview Clustering-Reference-Cited by-同舟云学术

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Low-Rank Tensor Regularized Views Recovery for Incomplete Multiview Clustering

Published:2023 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhang Chao¹^ORCID,Li Huaxiong¹,Chen Caihua²^ORCID,Jia Xiuyi³^ORCID,Chen Chunlin¹^ORCID

Affiliation:

1. Department of Control Science and Intelligence Engineering, Nanjing University, Nanjing, China

2. School of Management and Engineering, Nanjing University, Nanjing, China

3. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10004588.pdf?arnumber=10004588

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Incomplete multi-view clustering via confidence graph completion based tensor decomposition;Expert Systems with Applications;2024-12

2. Learning latent disentangled embeddings and graphs for multi-view clustering;Pattern Recognition;2024-12

3. Tensor-based global block-diagonal structure radiation for incomplete multiview clustering;Expert Systems with Applications;2024-12

4. Fast Dynamic Multi-view Clustering with semantic-consistency inheritance;Knowledge-Based Systems;2024-09

5. Low-rank representation induced missing-view recovery for incomplete multi-view clustering;Neurocomputing;2024-08

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