Pure kernel graph fusion tensor subspace clustering under non-negative matrix factorization framework-Reference-Cited by-同舟云学术

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Pure kernel graph fusion tensor subspace clustering under non-negative matrix factorization framework

Published:2024-03 Issue:2 Volume:61 Page:103603
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Zhao Shuai^ORCID,Zheng Yilu^ORCID,Li Jinghao,Zhang Xiaoqian^ORCID,Tang Chunlin,Tan Zhen

Funder

Natural Science Foundation of Sichuan Province

National Natural Science Foundation of China

South University of Science and Technology of China

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference49 articles.

1. Adaptive explicit kernel minkowski weighted K-means;Aradnia;Information Sciences,2022

2. Self-supervised deep geometric subspace clustering network;Baek;Information Sciences,2022

3. Multi-view low-rank sparse subspace clustering;Brbić;Pattern Recognition,2018

4. Multi-view clustering via deep concept factorization;Chang;Knowledge-Based Systems,2021

5. Deep subspace image clustering network with self-expression and self-supervision;Chen;Applied Intelligence,2023

Cited by 1 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. Local-Global Representation Enhancement for Multi-View Graph Clustering;Electronics;2024-05-06

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