nmfgpu4R: GPU-Accelerated Computation of the Non-Negative Matrix Factorization (NMF) Using CUDA Capable Hardware.
Sven KoitkaChristoph M. FriedrichPublished in: R J. (2016)
Keyphrases
- negative matrix factorization
- gpu accelerated
- real time
- nonnegative matrix factorization
- matrix factorization
- document clustering
- sparse representation
- principal component analysis
- finite element
- constrained least squares
- tensor factorization
- spectral clustering
- frobenius norm
- data points
- sparsity constraints
- pairwise
- feature extraction