Modifiable low-rank approximation to a matrix.
Jesse L. BarlowHasan ErbayPublished in: Numer. Linear Algebra Appl. (2009)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- subspace learning
- spectral clustering
- kernel matrix
- low rank matrices
- adjacency matrix
- iterative algorithms
- data dependent
- reconstruction error
- latent semantic indexing
- singular values
- matrix completion
- nonnegative matrix factorization
- training data
- linear combination
- convex optimization
- data sets
- dimensionality reduction
- least squares
- kernel methods
- eigendecomposition
- data representation
- low rank matrix
- semi supervised
- matrix factorization