A multi-kernel method of measuring adaptive similarity for spectral clustering.
Augustine MonneyYongzhao ZhanZhen JiangBen-Bright BenuwaPublished in: Expert Syst. Appl. (2020)
Keyphrases
- spectral clustering
- kernel methods
- similarity matrix
- kernel pca
- normalized cut
- alternative clusterings
- similarity function
- similarity graph
- clustering method
- data clustering
- pairwise
- similarity measure
- k means
- learning problems
- constrained spectral clustering
- image segmentation
- kernel function
- feature space
- clustering algorithm
- support vector machine
- eigendecomposition
- nonnegative matrix factorization
- machine learning
- support vector
- reproducing kernel hilbert space
- kernel matrix
- graph partitioning
- co occurrence
- reproducing kernel
- active learning
- image processing
- learning algorithm