Multi-View Discrete Clustering: A Concise Model-Reference-Cited by-同舟云学术

Multi-View Discrete Clustering: A Concise Model

Published:2023-12 Issue:12 Volume:45 Page:15154-15170
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Qiang Qianyao¹^ORCID,Zhang Bin¹^ORCID,Wang Fei²^ORCID,Nie Feiping³^ORCID

Affiliation:

1. School of Software, Xi'an Jiaotong University, Xi'an, Shaanxi, China

2. School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China

3. School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, Shaanxi, China

Funder

Key Research and Development Projects of Shaanxi Province

National Key Projects of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10308548/10265104.pdf?arnumber=10265104

Reference51 articles.

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2. A co-training approach for multi-view spectral clustering;kumar;Proc 28th Int Conf Mach Learn,2011

3. Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering

4. Parameter-free auto-weighted multiple graph learning: A framework for multiview clustering and semi-supervised classification;nie;Proc Int Joint Conf Artif Intell,2016

5. Discrete Optimal Graph Clustering

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