Model Selection for Semi-Supervised Clustering.
Mojgan PourrajabiDavoud MoulaviRicardo J. G. B. CampelloArthur ZimekJörg SanderRandy GoebelPublished in: EDBT (2014)
Keyphrases
- model selection
- semi supervised clustering
- semi supervised
- cross validation
- unsupervised clustering
- background knowledge
- semi supervised learning
- pairwise constraints
- semi supervised classification
- metric learning
- hyperparameters
- sample size
- nonnegative matrix factorization
- k means
- unsupervised learning
- feature selection
- labeled data
- machine learning
- clustering algorithm
- unlabeled data
- generalization error
- image segmentation
- pairwise
- model selection criteria
- document clustering
- supervised classification
- training data
- decision trees