Constrained clustering and multiple kernel learning without pairwise constraint relaxation.
Benedikt BoeckingVincent JeanselmeArtur DubrawskiPublished in: Adv. Data Anal. Classif. (2024)
Keyphrases
- multiple kernel learning
- constrained clustering
- pairwise
- pairwise constraints
- semi supervised
- semi supervised learning
- spectral clustering
- unlabeled data
- constraint satisfaction
- linear combination
- labeled data
- clustering method
- clustering algorithm
- multi class
- loss function
- binary classification
- kernel methods
- learning problems
- k means
- kernel function
- feature selection
- similarity measure
- markov random field
- support vectors
- supervised learning
- multi task
- unsupervised learning
- text categorization
- data clustering
- document clustering
- metric learning
- high dimensional
- cost sensitive
- search space
- computational complexity
- machine learning algorithms