An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering.
José M. PeñaJosé Antonio LozanoPedro LarrañagaPublished in: Pattern Recognit. Lett. (2000)
Keyphrases
- em algorithm
- learning bayesian networks
- incomplete data
- maximum likelihood
- expectation maximization
- model based clustering
- bayesian networks
- mixture model
- mixture modeling
- k means
- finite mixture models
- hyperparameters
- maximum likelihood estimation
- parameter estimation
- statistical data
- gaussian mixture model
- clustering algorithm
- unsupervised learning
- density estimation
- matrix factorisation
- posterior distribution
- hidden variables
- structure learning
- hierarchical clustering
- generative model
- posterior probability
- maximum a posteriori
- conditional independence
- expectation maximisation
- bayesian inference
- probability density function
- missing values
- data points
- pairwise