Symmetry and Nonnegativity-Constrained Matrix Factorization for Community Detection-Reference-Cited by-同舟云学术

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Symmetry and Nonnegativity-Constrained Matrix Factorization for Community Detection

Published:2022-09 Issue:9 Volume:9 Page:1691-1693
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Liu Zhigang¹,Yuan Guangxiao²,Luo Xin³

Affiliation:

1. School of Computer Science and Technology, Chongqing University of Posts and Telecommunications,Chongqing,400065

2. Faculty of Liberal Arts and Social Sciences, The Education University of Hong Kong,Hong Kong,China,999077

3. School of Computer Science and Technology, Dongguan University of Technology,Dongguan,523808

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization

Link

http://xplorestaging.ieee.org/ielx7/6570654/9864997/09865020.pdf?arnumber=9865020

Reference16 articles.

2. Graph regularized nonnegative matrix factorization for data representation;cai;IEEE Trans Pattern Analysis and Machine Intelligence,2011

3. A Non-negative Symmetric Encoder-Decoder Approach for Community Detection

4. SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering

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