Parallel Nonnegative Matrix Factorization Based on Newton Iteration with Improved Convergence Behavior.
Rade KutilMarkus FlatzMarián VajtersicPublished in: PPAM (1) (2017)
Keyphrases
- nonnegative matrix factorization
- interior point
- probabilistic latent semantic indexing
- newton method
- negative matrix factorization
- least squares
- iterative algorithms
- data representation
- matrix factorization
- spectral clustering
- objective function
- nonnegative matrix
- document clustering
- principal component analysis
- semidefinite programming
- information extraction
- data analysis
- computer vision