Spectral partitioning with blends of eigenvectors.
James P. FairbanksDavid A. BaderGeoffrey D. SandersPublished in: J. Complex Networks (2017)
Keyphrases
- laplacian matrix
- normalized cut
- spectral clustering
- covariance matrix
- principal component analysis
- spectral methods
- affinity matrix
- graph laplacian
- partitioning algorithm
- spectral features
- spectral analysis
- graph partitioning
- hyperspectral
- principal components
- singular value decomposition
- similarity measure
- multispectral images
- hessian matrix
- eigenvalues and eigenvectors
- spectral images
- principal direction
- spectral decomposition
- real time
- spectral data
- hyperspectral imagery
- clustering method
- pairwise
- learning algorithm
- data sets