Parallel Nonnegative Matrix Factorization Algorithm on the Distributed Memory Platform
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s10766-009-0116-7.pdf
Reference32 articles.
1. Lee D.D., Seung H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401, 788–791 (1999)
2. Lee D.D., Seung H.S.: Algorithms for non-negative matrix factorizations. Adv. Neural Inf. Process. Syst. 13, 556–562 (2001)
3. Berry M.W., Browne M.: Email surveillance using non-negative matrix factorization. Comput. Math. Organ. Theory 11, 249–264 (2005)
4. Berry M.W., Browne M., Langville A.N., Pauca V.P., Plemmons R.J.: Algorithms and applications for approximate non-negative matrix factorization. Comput. Stat. Data Anal. 52, 155–173 (2007)
5. Kaarna, A.: Nonnegative matrix factorization features from spectral signatures of AVIRIS images. In: Proceedings of IEEE International Conference on Geoscience and Remote Sensing Symposium, pp. 549–552 (2006)
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