Spectral Partitioning: The More Eigenvectors, The Better.
Charles J. AlpertSo-Zen YaoPublished in: DAC (1995)
Keyphrases
- hyperspectral
- hyperspectral images
- multispectral
- covariance matrix
- principal component analysis
- principal components
- spectral clustering
- eigendecomposition
- singular value decomposition
- hidden markov models
- high dimensional
- image processing
- computer vision
- graph partitioning
- real time
- laplacian matrix
- eigenvalue decomposition
- spectral methods
- feature selection
- genetic algorithm