The following publications are possibly variants of this publication:
- Constrained Nonnegative Matrix Factorization based Data Distortion Techniques - Study of Data Privacy and UtilityNirmal Thapa, Pengpeng Lin, Lian Liu, Jie Wang, Jun Zhang 0001. QIMIE 2012: 51-56
- An Efficient Parallelization Approach for Large-Scale Sparse Non-Negative Matrix Factorization Using Kullback-Leibler Divergence on Multi-GPUHao Li, Kenli Li, Jiwu Peng, Junyan Hu, Keqin Li. ispa 2017: 511-518 [doi]
- Rank-constrained nonnegative matrix factorization for data representationZhenqiu Shu, Xiao-jun Wu, Cong-Zhe You, Zhen Liu 0015, Peng Li, Honghui Fan, Feiyue Ye. isci, 528:133-146, 2020. [doi]
- Constrained Nonnegative Matrix Factorization Based on Label Propagation for Data RepresentationJunmin Liu, Yicheng Wang, Jing Ma, Di Han 0002, Yifan Huang. tai, 5(2):590-601, February 2024. [doi]