Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation.
Benedikt BoeckingVincent JeanselmeArtur DubrawskiPublished in: CoRR (2022)
Keyphrases
- multiple kernel learning
- constrained clustering
- pairwise
- pairwise constraints
- semi supervised
- semi supervised learning
- spectral clustering
- clustering method
- linear combination
- constraint satisfaction
- clustering algorithm
- loss function
- multi class
- kernel methods
- labeled data
- k means
- learning problems
- unlabeled data
- similarity measure
- markov random field
- kernel function
- supervised learning
- multi task
- feature selection
- support vectors
- binary classification
- decision boundary
- bayesian networks
- text categorization
- active learning
- transfer learning
- training examples
- text mining