PyParSVD: A streaming, distributed and randomized singular-value-decomposition library.
Romit MaulikGianmarco MengaldoPublished in: DRBSD@SC (2021)
Keyphrases
- singular value decomposition
- singular values
- low rank
- least squares
- dimension reduction
- reconstruction error
- principal component analysis
- latent semantic indexing
- low rank approximation
- dimensionality reduction
- null space
- data sets
- low rank matrix
- low rank matrices
- singular vectors
- latent semantic analysis
- missing data
- semi supervised
- feature space