Kernel Cuts: Kernel and Spectral Clustering Meet Regularization.
Meng TangDmitrii MarinIsmail Ben AyedYuri BoykovPublished in: Int. J. Comput. Vis. (2019)
Keyphrases
- spectral clustering
- kernel pca
- graph laplacian
- kernel machines
- reproducing kernel hilbert space
- kernel function
- clustering algorithm
- clustering method
- normalized cut
- pairwise
- eigendecomposition
- feature space
- kernel methods
- laplacian matrix
- machine learning
- affinity matrix
- random walk
- k means
- support vector
- kernel matrix
- input space
- graph kernels
- image segmentation
- learning algorithm