Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems.
Rafal ZdunekAndrzej CichockiPublished in: Comput. Intell. Neurosci. (2008)
Keyphrases
- nonnegative matrix factorization
- interior point
- projected gradient
- negative matrix factorization
- matrix factorization
- optimization problems
- data representation
- spectral clustering
- semidefinite programming
- search methods
- original data
- training data
- data mining
- active learning
- interior point methods
- image processing
- learning algorithm