Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints.
Germán González-AlmagroPablo Sánchez BermejoJuan-Luis SuárezJosé Ramón CanoSalvador GarcíaPublished in: Inf. Fusion (2024)
Keyphrases
- semi supervised clustering
- background knowledge
- pairwise constraints
- semi supervised
- logic programs
- domain knowledge
- pairwise
- metric learning
- prior knowledge
- unsupervised clustering
- labeled data
- semi supervised learning
- semi supervised classification
- spectral clustering
- data representation
- knowledge base
- nonnegative matrix factorization
- document clustering
- search engine
- loss function
- distance metric
- support vector machine