Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation.
Riku AkemaMasao YamagishiIsao YamadaPublished in: CoRR (2020)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- subspace learning
- low rank
- spectral clustering
- kernel matrix
- low rank matrices
- iterative algorithms
- latent semantic indexing
- data dependent
- reconstruction error
- matrix completion
- adjacency matrix
- nonnegative matrix factorization
- data sets
- singular values
- dimensionality reduction
- principal component analysis
- information retrieval
- data representation
- matrix factorization
- kernel methods
- eigendecomposition
- pattern recognition