Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning-Reference-Cited by-同舟云学术

Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning

Published:2023 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Tan Dayu¹^ORCID,Huang Zheng²,Peng Xin³^ORCID,Zhong Weimin³^ORCID,Mahalec Vladimir²^ORCID

Affiliation:

1. Ministry of Education, Institutes of Physical Science and Information Technology, Key Laboratory of Intelligent Computing and Signal Processing, Anhui University, Hefei, China

2. School of Engineering Practice and Technology, McMaster University, Hamilton, Canada

3. Ministry of Education, Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai, China

Funder

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

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10046138.pdf?arnumber=10046138

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