Full and Semi-supervised k-Means Clustering Optimised by Class Membership Hesitation.
Piotr PlonskiKrzysztof ZarembaPublished in: ICANNGA (2013)
Keyphrases
- class membership
- semi supervised
- labeled data
- class labels
- semi supervised learning
- unlabeled data
- decision boundary
- probability estimation
- k means
- pairwise
- supervised learning
- active learning
- unsupervised learning
- class probabilities
- input variables
- generative model
- clustering algorithm
- posterior probability
- probability estimates
- decision trees
- neural network
- fuzzy logic
- feature space