Active Learning for Semi-Supervised K-Means Clustering.
Viet-Vu VuNicolas LabrocheBernadette Bouchon-MeunierPublished in: ICTAI (1) (2010)
Keyphrases
- semi supervised
- active learning
- semi supervised learning
- labeled data
- unlabeled data
- training examples
- co training
- semi supervised classification
- supervised learning
- multi view
- k means
- pool based active learning
- labeled examples
- training set
- label propagation
- selective sampling
- learning strategies
- learning process
- pairwise
- labeled and unlabeled data
- transfer learning
- spectral clustering
- incremental learning
- transductive learning
- pairwise constraints
- subspace learning
- sample selection
- machine learning
- manifold learning
- unsupervised learning
- relevance feedback
- semi supervised clustering
- random sampling
- unlabeled examples
- constrained clustering
- data sets
- partitioned data
- fully supervised
- learning algorithm
- e learning
- clustering algorithm
- batch mode
- privacy preserving
- data clustering
- metric learning