Affiliation:
1. College of information science and engineering, Shandong Agricultural University
2. School of mathematics and statistics, Taishan University
Funder
Shandong Provincial (China) Natural Science Foundation
National Science and Technology Support Program
National Natural Science Foundation of China
Project of Shandong Province Higher Educational Science and Technology Program
Reference18 articles.
1. Pauca, V.P., Piper, J., and Plemmons, R. 2006. Nonnegative matrix factorization for spectral data analysis. Linear algebra and applications. 416, 1 (Jul. 2006), 29--47. DOI=https://doi.org/10.1016/j.laa.2005.06.025
2. Qian, Y., Jia, S., Zhou, J., and Robles-Kelly, A. 2011. Hyperspectral unmixing via ι1/2 sparsity-constrained nonnegative matrix factorization. IEEE Trans. Geosci. Remote Sens. 49, 11 (Apr. 2011) 4282--4297. DOI=10.1109/TGRS.2011.2144605.
3. Miao, L., and Qi, H. 2007. Endmember extraction from highly mixed data using minimum volume constrained nonnegative matrix factorization. IEEE Trans. Geosci. Remote Sens. 45, 3 (Mar. 2007) 765--777. DOI: 10.1109/TGRS.2006.888466
4. Pompili, F., Gillis, N., Absil, P.A., and Glineur F. 2014. Two algorithms for orthogonal nonnegative matrix factorization with application to clustering. Neurocomputing. 141(Feb. 2014) 15--25. DOI= https://doi.org/10.1016/j.neucom.2014.02.018
5. Sun, L., Zhao, G.X., and Du, X.P. 2016. CUR Based Initialization Strategy for Non-Negative Matrix Factorization in Application to Hyperspectral Unmixing. Journal of Applied Mathematics and Physics. 4 (Apr. 2016) 614--617. DOI= https://dx.doi.org/10.4236/jamp.2016.44068
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