Kernel K-Means Sampling for Nyström Approximation.
Li HeHong ZhangPublished in: IEEE Trans. Image Process. (2018)
Keyphrases
- low rank approximation
- spectral clustering
- k means
- kernel matrix
- adaptive sampling
- low rank matrix approximation
- eigendecomposition
- kernel methods
- kernel function
- data clustering
- normalized cut
- clustering method
- monte carlo
- random sampling
- sampling methods
- clustering algorithm
- feature space
- approximation algorithms
- series expansion
- approximation error
- kernel machines
- kernel based clustering
- singular value decomposition
- hierarchical clustering
- sufficient statistics
- nonnegative matrix factorization
- uniform sampling
- low rank
- subspace learning
- error bounds
- sample size
- pairwise
- support vector
- sampling algorithm
- gaussian processes
- self organizing maps
- least squares
- support vector machine
- squared euclidean distance