Publisher
Springer Science and Business Media LLC
Reference49 articles.
1. Lee, Daniel D., and H. Sebastian Seung. 2001. “Algorithms for nonnegative matrix factorization.” Advances in neural information processing systems. 556–562
2. He X, Yan S, Yuxiao Hu, Zhang H-J. Learning a locality preserving subspace for visual recognition. In: Proceedings Ninth IEEE International Conference on Computer Vision. NY: IEEE; 2003. p. 385–92.
3. Newman MEJ, Girvan M. Finding and evaluating community structure in networks. Phys Rev E. 2004;69(2):026113.
4. Ding, Chris, Tao Li, Wei Peng, and Haesun Park. 2006. "Orthogonal nonnegative matrix t-factorizations for clustering." In Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining. 126–135
5. Lin C-J. Projected gradient methods for nonnegative matrix factorization. Neural Comput. 2007;19(10):2756–79.