A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints.
Marek SmiejaLukasz StruskiMário A. T. FigueiredoPublished in: CoRR (2020)
Keyphrases
- semi supervised clustering
- pairwise constraints
- unsupervised clustering
- semi supervised
- semi supervised classification
- decision boundary
- pairwise
- background knowledge
- metric learning
- data representation
- spectral clustering
- semi supervised learning
- nonnegative matrix factorization
- labeled data
- unlabeled data
- support vector
- pattern recognition
- pattern classification
- clustering algorithm
- loss function
- supervised classification
- training samples
- unsupervised learning
- document clustering
- training set
- machine learning
- supervised learning
- constrained clustering
- text classification
- decision trees
- hidden markov random fields
- distance metric
- clustering method
- active learning
- k means
- feature vectors