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A Three-Layer Weighted Ensemble Clustering Approach Based on Tensor Decomposition

Ting Gao Xiufang Xu Xuesheng Bian Naixuan Guo Zhaofeng Chen Sen Xu Shanliang Yao Tian Zhou

Tsinghua Science and Technology2026,Vol.31Issue(3):P.1737-1749,13.
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Tsinghua Science and Technology2026,Vol.31Issue(3):P.1737-1749,13.DOI:10.26599/TST.2025.9010133

A Three-Layer Weighted Ensemble Clustering Approach Based on Tensor Decomposition

Ting Gao 1Xiufang Xu 1Xuesheng Bian 1Naixuan Guo 2Zhaofeng Chen 1Sen Xu 3Shanliang Yao 4Tian Zhou5

作者信息

  • 1. School of Information Engineering,Yancheng Institute of Technology,Yancheng 224007,China
  • 2. School of Information Engineering,Yancheng Institute of Technology,Yancheng 224007,China the Key Laboratory of Computer Network and Information Integration(Southeast University),Ministry of Education,China
  • 3. School of Information Engineering,Yancheng Institute of Technology,Yancheng 224007,China School of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China
  • 4. Faculty of Science and Engineering,University of Liverpool,Liverpoo L693BX,UK
  • 5. College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,China
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摘要

关键词

ensemble clustering/tensor decomposition/three-layer weighted/co-association(CA)matrix

分类

信息技术与安全科学

引用本文复制引用

Ting Gao,Xiufang Xu,Xuesheng Bian,Naixuan Guo,Zhaofeng Chen,Sen Xu,Shanliang Yao,Tian Zhou..A Three-Layer Weighted Ensemble Clustering Approach Based on Tensor Decomposition[J].Tsinghua Science and Technology,2026,31(3):P.1737-1749,13.

基金项目

supported by the National Natural Science Foundation of China(Nos.62076215 and 62301473) (Nos.62076215 and 62301473)

the Fundamental Research Funds for the Central Universities(No.K93-9-2022-03) (No.K93-9-2022-03)

Jiangsu Provincial Department of Higher Education General Program(No.23KJB520039) (No.23KJB520039)

Jiangsu Provincial Key Laboratory of Network and Information Security(No.BM2003201) (No.BM2003201)

Qing Lan Project of Jiangsu and Yancheng Basic Research Fund Project(Nos.YCBK2023008 and YCBK2024028). (Nos.YCBK2023008 and YCBK2024028)

Tsinghua Science and Technology

1007-0214

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