Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints.
Brian BrubachDarshan ChakrabartiJohn P. DickersonAravind SrinivasanLeonidas TsepenekasPublished in: CoRR (2021)
Keyphrases
- pairwise constraints
- semi supervised learning
- semi supervised
- semi supervised clustering
- unlabeled data
- labeled data
- semi supervised classification
- constrained clustering
- label propagation
- unsupervised learning
- spectral clustering
- unsupervised clustering
- pairwise
- supervised learning
- active learning
- machine learning
- training data
- clustering algorithm
- text categorization
- instance level constraints
- document clustering
- learning problems
- data points
- boosting framework
- metric learning
- transfer learning
- k means
- information retrieval
- distance metric
- nonnegative matrix factorization
- support vector machine
- prior knowledge
- object recognition
- decision trees