A semi-supervised formulation to binary kernel spectral clustering.
Carlos AlzateJohan A. K. SuykensPublished in: IJCNN (2012)
Keyphrases
- spectral clustering
- pairwise constraints
- semi supervised
- kernel learning
- spectral relaxation
- constrained spectral clustering
- pairwise
- eigendecomposition
- kernel pca
- constrained clustering
- normalized cut
- label propagation
- kernel machines
- low rank
- kernel matrix
- graph laplacian
- affinity matrix
- semi supervised learning
- similarity matrix
- clustering method
- data clustering
- image segmentation
- laplacian matrix
- metric learning
- kernel methods
- kernel function
- unsupervised learning
- k means
- clustering algorithm
- instance level constraints
- labeled data
- graph construction
- unlabeled data
- negative matrix factorization
- nonnegative matrix factorization
- support vector
- supervised learning
- graph partitioning
- duplicate detection
- spectral methods
- similarity measure
- feature space
- reinforcement learning
- semi definite programming
- reproducing kernel hilbert space
- semidefinite programming