Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints.
Brian BrubachDarshan ChakrabartiJohn P. DickersonAravind SrinivasanLeonidas TsepenekasPublished in: AAAI (2021)
Keyphrases
- pairwise constraints
- semi supervised learning
- semi supervised
- semi supervised clustering
- unlabeled data
- labeled data
- semi supervised classification
- unsupervised learning
- pairwise
- spectral clustering
- constrained clustering
- unsupervised clustering
- document clustering
- label propagation
- supervised learning
- active learning
- boosting framework
- text categorization
- machine learning
- loss function
- learning problems
- clustering algorithm
- metric learning
- transfer learning
- training data
- distance metric
- data representation
- training examples
- k means
- instance level constraints
- decision boundary
- data points
- prior knowledge
- principal component analysis