Literature survey on low rank approximation of matrices.
N. Kishore KumarJan ShneiderPublished in: CoRR (2016)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- subspace learning
- spectral clustering
- kernel matrix
- iterative algorithms
- low rank matrices
- latent semantic indexing
- matrix completion
- reconstruction error
- data dependent
- nonnegative matrix factorization
- singular values
- eigendecomposition
- least squares
- principal component analysis
- low rank matrix
- feature extraction
- data sets