A compact Heart iteration for low-rank approximations of large matrices.
Achiya DaxPublished in: J. Comput. Appl. Math. (2024)
Keyphrases
- low rank approximation
- iterative algorithms
- singular value decomposition
- low rank matrix approximation
- subspace learning
- low rank
- spectral clustering
- kernel matrix
- data dependent
- dimensionality reduction
- nonnegative matrix factorization
- adjacency matrix
- latent semantic indexing
- reconstruction error
- eigendecomposition
- machine learning
- objective function
- graph model
- singular values
- high dimensional data
- kernel function
- model selection
- feature extraction