A Novel Bayesian Cluster Enumeration Criterion for Unsupervised Learning.
Freweyni K. TeklehaymanotMichael MumaAbdelhak M. ZoubirPublished in: CoRR (2017)
Keyphrases
- unsupervised learning
- data clustering
- cluster analysis
- minimum message length
- supervised learning
- feature selection
- minimum description length
- supervised feature selection
- clustering algorithm
- bayesian networks
- model selection
- marginal likelihood
- bayesian estimation
- bayesian decision
- bayesian learning
- hierarchical clustering
- optimization criterion
- decision trees
- deep learning
- selection criterion
- posterior distribution
- hierarchical structure
- mixture model
- machine learning
- maximum likelihood
- data mining
- posterior probability
- bayesian inference
- pairwise
- spectral clustering
- object recognition
- expectation maximization
- text classification