On the Relationship Between Dimensionality Reduction and Spectral Clustering from a Kernel Viewpoint.
Diego Hernán Peluffo-OrdóñezMiguel A. BecerraAndrés Eduardo Castro-OspinaX. P. Blanco-ValenciaJuan C. Alvarado-PérezRoberto TherónAndres J. Anaya-IsazaPublished in: DCAI (2016)
Keyphrases
- spectral clustering
- kernel pca
- viewpoint
- dimensionality reduction
- kernel trick
- pairwise
- clustering method
- data clustering
- normalized cut
- k means
- clustering algorithm
- image segmentation
- affinity matrix
- graph partitioning
- similarity matrix
- pairwise constraints
- graph laplacian
- evolutionary clustering
- spectral methods
- constrained spectral clustering
- eigendecomposition
- kernel learning
- manifold structure
- laplacian matrix
- kernel matrix
- input space
- linear discriminant analysis
- feature space
- computer vision