Spectral discretization errors in filtered subspace iteration.
Jay GopalakrishnanLuka GrubisicJeffrey S. OvallPublished in: Math. Comput. (2020)
Keyphrases
- preprocessing
- high dimensional data
- feature space
- iterative process
- spectral features
- discretization method
- feature extraction
- spectral analysis
- principal components analysis
- subspace clustering
- low dimensional
- principal component analysis
- nearest neighbor
- spectral signatures
- high dimensional
- data sets
- spectral images
- iterative refinement
- clustering high dimensional data
- hyperspectral imagery
- continuous attributes
- error detection
- subspace methods
- low pass
- linear subspace
- multispectral images
- error analysis
- multiresolution
- objective function