Fast Clustering via Maximizing Adaptively Within-Class Similarity-Reference-Cited by-同舟云学术

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Fast Clustering via Maximizing Adaptively Within-Class Similarity

Published:2023 Issue: Volume: Page:1-14
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Xue Jingjing¹^ORCID,Nie Feiping²,Wang Rong²^ORCID,Zhang Liang³^ORCID,Li Xuelong²

Affiliation:

1. the School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China

2. Ministry of Industry and Information Technology, School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Northwestern Polytechnical University, Xi’an, China

3. Company Ltd, Nanjing Research and Development Center, Huawei Technologies, Nanjing, China

Funder

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10024856.pdf?arnumber=10024856

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