Robust $k$-Means-Type Clustering for Noisy Data-Reference-Cited by-同舟云学术

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Robust $k$-Means-Type Clustering for Noisy Data

Published:2024 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:

Xiao Xi¹^ORCID,Ma Hailong¹^ORCID,Gan Guojun²^ORCID,Li Qing³^ORCID,Zhang Bin¹,Xia Shutao⁴^ORCID

Affiliation:

1. Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

2. Department of Mathematics, University of Connecticut, Storrs, CT, USA

3. Future Network Research Institute, Southern University of Science and Technology, Shenzhen, China

4. Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, China

Funder

Overseas Research Cooperation Fund of Tsinghua Shenzhen International Graduate School

Major Key Project of Peng Cheng Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/5962385/6104215/10551895.pdf?arnumber=10551895

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