A Sparse Framework for Robust Possibilistic K-Subspace Clustering-Reference-Cited by-同舟云学术

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A Sparse Framework for Robust Possibilistic K-Subspace Clustering

Published:2023-04 Issue:4 Volume:31 Page:1124-1138
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Zeng Shan¹^ORCID,Duan Xiangjun¹,Li Hao¹^ORCID,Bai Jun²,Tang Yuanyan³,Wang Zhiyong⁴^ORCID

Affiliation:

1. College of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, China

2. School of Information Technology, Deakin University, Melbourne, VIC, Australia

3. Faculty of Science and Technology, University of Macau, Macau, China

4. School of Computer Science, The University of Sydney, Sydney, NSW, Australia

Funder

Hubei Province Natural Science Foundation for Distinguished Young Scholars

Excellent Young and Middle-Aged Scientific and Technological Innovation Teams in Colleges and Universities of Hubei Province

NSFC-CAAC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/91/10089565/09847044.pdf?arnumber=9847044

Reference62 articles.

1. A possibilistic approach to clustering

2. Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development

3. Sparse Possibilistic Clustering with L1 Regularization

Cited by 4 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. Semi-supervised sparse representation collaborative clustering of incomplete data;Applied Intelligence;2023-12

2. Generalized possibilistic c-means clustering with double weighting exponents;Information Sciences;2023-10

3. VSFCM: A Novel Viewpoint-Driven Subspace Fuzzy C-Means Algorithm;Applied Sciences;2023-05-22

4. From Soft Clustering to Hard Clustering: A Collaborative Annealing Fuzzy $c$-means Algorithm;IEEE Transactions on Fuzzy Systems;2023

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