Low-rank approximation in the Frobenius norm by column and row subset selection.
Alice CortinovisDaniel KressnerPublished in: CoRR (2019)
Keyphrases
- low rank approximation
- frobenius norm
- low rank
- singular value decomposition
- reconstruction error
- subspace learning
- spectral clustering
- kernel matrix
- iterative algorithms
- data dependent
- latent semantic indexing
- nonnegative matrix factorization
- matrix completion
- adjacency matrix
- convex optimization
- missing data
- kernel methods
- linear combination
- data clustering
- machine learning
- eigendecomposition
- sparse representation
- matrix factorization
- model selection