Matlab Library for Deep Matrix Factorization models with data clustering.
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DGsnMF
- H. Huang, Z. Yang, Z. Li and W. Sun, "A converged Deep Graph semi-NMF algorithm for learning data representation," Circuits, Systems, and Signal Processing, 2022.
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Deep nsNMF
- J. Yu, G. Zhou, A. Cichocki, and S. Xie, "Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization," IEEE Access, 2018.
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Deep Semi-NMF
- G. Trigeorgis, K. Bousmalis, S. Zafeiriou, B. W. Schuller, "A Deep Matrix Factorization Method for Learning Attribute Representations," IEEE TPAMI, 2017.
If you find this algorithm useful in your research, please consider citing:
@article{huang2022converged,
title={A converged deep graph semi-nmf algorithm for learning data representation},
author={Huang, Haonan and Yang, Zuyuan and Li, Zhenni and Sun, Weijun},
journal={Circuits, Systems, and Signal Processing},
volume={41},
number={2},
pages={1146--1165},
year={2022},
publisher={Springer}
}