Using conditional independence for parsimonious model-based Gaussian clustering.
Giuliano GalimbertiGabriele SoffrittiPublished in: Stat. Comput. (2013)
Keyphrases
- conditional independence
- gaussian model
- bayesian networks
- random variables
- probability distribution
- graphical models
- structure learning
- clustering algorithm
- directed acyclic graph
- learning bayesian networks
- bayesian network structure
- clustering method
- axiomatic characterization
- causal models
- possibility theory
- probability theory
- k means
- marginal distributions
- neural network
- causal discovery
- data points
- statistical independence
- structure and parameter learning
- incomplete information
- markov property
- causal independence
- conditional independencies
- chain graphs
- conditional independence tests