Bounded Matrix Low Rank Approximation.
Ramakrishnan KannanMariya IshtevaHaesun ParkPublished in: ICDM (2012)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- subspace learning
- kernel matrix
- spectral clustering
- low rank matrices
- adjacency matrix
- iterative algorithms
- nonnegative matrix factorization
- data dependent
- latent semantic indexing
- reconstruction error
- matrix completion
- semi supervised
- least squares
- pattern recognition
- data representation
- matrix factorization
- principal component analysis