Fast Parallel Randomized Algorithm for Nonnegative Matrix Factorization with KL Divergence for Large Sparse Datasets
- 1 April 2016
- journal article
- Published by EJournal Publishing in International Journal of Machine Learning and Computing
- Vol. 6 (2) , 111-116
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This publication has 8 references indexed in Scilit:
- Finding imaging patterns of structural covariance via Non-Negative Matrix FactorizationNeuroImage, 2015
- Nonnegative Matrix Factorization for Interactive Topic Modeling and Document Clustering2014
- Nonnegative Matrix Factorization: A Comprehensive ReviewIEEE Transactions on Knowledge and Data Engineering, 2012
- Fast coordinate descent methods with variable selection for non-negative matrix factorization2011
- Linear and Nonlinear Programming2008
- Learning spatially localized, parts-based representation2005
- Learning the parts of objects by non-negative matrix factorizationNature, 1999
- Projected Newton Methods for Optimization Problems with Simple ConstraintsSIAM Journal on Control and Optimization, 1982