Spectral clustering with the probabilistic cluster kernel.
Emma Izquierdo-VerdiguierRobert JenssenLuis Gómez-ChovaGustavo Camps-VallsPublished in: Neurocomputing (2015)
Keyphrases
- spectral clustering
- normalized cut
- data clustering
- clustering algorithm
- kernel pca
- evolutionary clustering
- clustering quality
- similarity matrix
- constrained clustering
- clustering result
- clustering method
- pairwise
- graph laplacian
- spectral methods
- unsupervised clustering
- laplacian matrix
- k means
- pairwise constraints
- constrained spectral clustering
- affinity matrix
- similarity graph
- graph partitioning
- eigendecomposition
- image segmentation
- kernel learning
- cluster analysis
- uncertain data
- probabilistic model
- instance level constraints
- hierarchical clustering
- bayesian networks
- reproducing kernel hilbert space
- unsupervised learning