A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies.
Ricardo J. G. B. CampelloDavoud MoulaviArthur ZimekJörg SanderPublished in: Data Min. Knowl. Discov. (2013)
Keyphrases
- optimal solution
- semi supervised
- clustering framework
- main contribution
- supervised learning
- clustering algorithm
- unsupervised learning
- neural network
- semi supervised learning
- theoretical framework
- data distribution
- hierarchical clustering
- labeled data
- manifold regularization
- multiple instance learning
- co training
- data points
- active learning
- genetic algorithm
- data mining