Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- subspace learning
- low rank
- spectral clustering
- kernel matrix
- iterative algorithms
- data dependent
- latent semantic indexing
- adjacency matrix
- reconstruction error
- nonnegative matrix factorization
- matrix factorization
- dimensionality reduction
- feature space
- data representation
- manifold learning
- low dimensional
- eigendecomposition
- principal component analysis
- least squares