Variational Bayes co-clustering with auxiliary information.
Motoki ShigaHiroshi MamitsukaPublished in: MultiClust@KDD (2013)
Keyphrases
- auxiliary information
- variational bayes
- latent variables
- bayesian inference
- hyperparameters
- bayesian learning
- clustering algorithm
- gaussian mixture model
- information theoretic
- free energy
- log likelihood
- external knowledge
- prior knowledge
- latent dirichlet allocation
- exponential family
- posterior distribution
- model selection
- probabilistic model
- labeled data
- semi supervised
- text mining
- document clustering
- random sampling
- closed form
- maximum a posteriori
- support vector
- prior information
- data sets
- topic models
- em algorithm
- expectation maximization
- graphical models
- active learning
- data mining