A classification-based approach to semi-supervised clustering with pairwise constraints.
Marek SmiejaLukasz StruskiMário A. T. FigueiredoPublished in: Neural Networks (2020)
Keyphrases
- semi supervised clustering
- pairwise constraints
- unsupervised clustering
- semi supervised classification
- semi supervised
- decision boundary
- pairwise
- background knowledge
- document clustering
- unlabeled data
- metric learning
- labeled data
- data representation
- supervised learning
- spectral clustering
- semi supervised learning
- machine learning
- k means
- nonnegative matrix factorization
- clustering method
- loss function
- support vector machine
- pattern classification
- pattern recognition
- hidden markov random fields
- class labels
- training samples
- text classification
- feature extraction
- clustering algorithm
- distance metric
- supervised classification
- feature space
- support vector
- information retrieval
- unsupervised learning
- constrained clustering