Randomized Low-Rank Approximation for Symmetric Indefinite Matrices.
Yuji NakatsukasaTaejun ParkPublished in: SIAM J. Matrix Anal. Appl. (2023)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- subspace learning
- kernel matrix
- spectral clustering
- adjacency matrix
- positive definite
- iterative algorithms
- latent semantic indexing
- reconstruction error
- nonnegative matrix factorization
- data dependent
- low rank matrices
- matrix completion
- data representation
- dimensionality reduction
- least squares
- feature selection
- weighted graph
- high dimensional data
- shortest path
- linear combination
- principal component analysis
- eigendecomposition
- semi supervised
- feature space
- low rank matrix
- clustering algorithm