Automatic graph pruning based on kernel alignment for spectral clustering.
Andrés Marino Álvarez-MezaAndrés Eduardo Castro-OspinaGermán Castellanos-DomínguezPublished in: Pattern Recognit. Lett. (2016)
Keyphrases
- spectral clustering
- normalized cut
- graph laplacian
- laplacian matrix
- graph partitioning
- kernel pca
- graph construction
- similarity matrix
- graph clustering
- clustering method
- label propagation
- similarity graph
- data clustering
- spectral methods
- affinity matrix
- pairwise
- random walk
- kernel machines
- eigendecomposition
- k means
- image segmentation
- clustering algorithm
- graph kernels
- adjacency matrix
- constrained spectral clustering
- weighted graph
- evolutionary clustering
- spectral analysis
- graph representation
- low dimensional
- heat kernel
- object recognition
- graph model
- graph mining
- cluster analysis
- kernel function
- learning algorithm
- machine learning