Randomized low-rank approximation of parameter-dependent matrices.
Daniel KressnerHei Yin LamPublished in: CoRR (2023)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- subspace learning
- low rank
- spectral clustering
- kernel matrix
- matrix completion
- iterative algorithms
- low rank matrices
- nonnegative matrix factorization
- data dependent
- adjacency matrix
- latent semantic indexing
- reconstruction error
- least squares
- machine learning
- convex optimization
- principal component analysis
- nearest neighbor
- similarity measure