Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- high order
- subspace learning
- spectral clustering
- kernel matrix
- iterative algorithms
- tensor decomposition
- dimensionality reduction
- higher order
- data dependent
- nonnegative matrix factorization
- adjacency matrix
- reconstruction error
- matrix completion
- missing data
- latent semantic indexing
- diffusion tensor
- principal component analysis
- data representation
- matrix factorization
- data clustering
- clustering method
- linear combination
- denoising