Discrete and Balanced Spectral Clustering With Scalability-Reference-Cited by-同舟云学术

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Discrete and Balanced Spectral Clustering With Scalability

Published:2023-12 Issue:12 Volume:45 Page:14321-14336
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Wang Rong¹^ORCID,Chen Huimin²^ORCID,Lu Yihang²^ORCID,Zhang Qianrong²,Nie Feiping¹^ORCID,Li Xuelong¹^ORCID

Affiliation:

1. School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi'an, China

2. School of Computer Science, School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi'an, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10308548/10239337.pdf?arnumber=10239337

Reference74 articles.

1. Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut

2. Nonlinear Component Analysis as a Kernel Eigenvalue Problem

3. Clustering by Minimum Cut Hyperplanes

4. Robust Structured Graph Clustering

5. Spectral clustering with graph neural networks for graph pooling;bianchi;Proc Int Conf Mach Learn,2020

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