A Kernel-Learning Approach to Semi-supervised Clustering with Relative Distance Comparisons.
Ehsan AmidAristides GionisAntti UkkonenPublished in: ECML/PKDD (1) (2015)
Keyphrases
- kernel learning
- pairwise constraints
- semi supervised
- pairwise
- metric learning
- loss function
- spectral clustering
- data representation
- document clustering
- labeled data
- semi supervised learning
- unlabeled data
- decision boundary
- distance metric
- active learning
- unsupervised learning
- kernel function
- data clustering
- prior knowledge
- pattern recognition