Two to Five Truths in Non-Negative Matrix Factorization.
John M. ConroyNeil P. MolinoBrian BaughmanRod GomezRyan KaliszewskiNicholas A. LinesPublished in: CoRR (2023)
Keyphrases
- negative matrix factorization
- nonnegative matrix factorization
- matrix factorization
- principal component analysis
- document clustering
- sparse representation
- constrained least squares
- spectral clustering
- latent semantic space
- text mining
- tensor factorization
- databases
- neural network
- machine learning
- update rule
- sparsity constraints