Better than best low-rank approximation with the singular value decomposition.
David F. GleichPublished in: CoRR (2024)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- singular values
- reconstruction error
- least squares
- dimension reduction
- principal component analysis
- latent semantic indexing
- dimensionality reduction
- measurement matrix
- singular vectors
- low rank matrices
- image segmentation
- spectral clustering