Semidefinite Programming Based Preconditioning for More Robust Near-Separable Nonnegative Matrix Factorization.
Nicolas GillisStephen A. VavasisPublished in: SIAM J. Optim. (2015)
Keyphrases
- semidefinite programming
- nonnegative matrix factorization
- interior point
- primal dual
- linear programming
- interior point methods
- matrix factorization
- data representation
- convex optimization
- negative matrix factorization
- semidefinite
- principal component analysis
- least squares
- linear program
- maximum margin
- image processing
- spectral clustering
- convergence rate
- kernel matrix
- k means
- data analysis