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Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning

Title: Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning
Authors: Tan, Dayu; Huang, Zheng; Peng, Xin; Zhong, Weimin; Mahalec, Vladimir
Contributors: National Natural Science Foundation of China; National Natural Science Fund for Distinguished Young Scholars; Shanghai Rising-Star Program; Fundamental Research Funds for the Central Universities and Shanghai AI Lab
Source: IEEE Transactions on Neural Networks and Learning Systems ; volume 35, issue 5, page 6103-6117 ; ISSN 2162-237X 2162-2388
Publisher Information: Institute of Electrical and Electronics Engineers (IEEE)
Publication Year: 2024
Document Type: article in journal/newspaper
Language: unknown
DOI: 10.1109/tnnls.2023.3243666
Availability: https://doi.org/10.1109/tnnls.2023.3243666; http://xplorestaging.ieee.org/ielx7/5962385/10517792/10046138.pdf?arnumber=10046138
Rights: https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html ; https://doi.org/10.15223/policy-029 ; https://doi.org/10.15223/policy-037
Accession Number: edsbas.3F3954A
Database: BASE