Improving the EM algorithm for mixtures.
Dimitris KarlisEvdokia XekalakiPublished in: Stat. Comput. (1999)
Keyphrases
- em algorithm
- expectation maximization
- mixture model
- gaussian mixture
- maximum likelihood
- mixture distribution
- parameter estimation
- gaussian mixture model
- maximum likelihood estimation
- generative model
- likelihood function
- probability density function
- mixture components
- expectation maximisation
- log likelihood
- incomplete data
- image segmentation
- density estimation
- hidden variables
- probabilistic model
- maximum a posteriori
- bayesian framework
- model based clustering
- finite mixture model
- log likelihood function
- likelihood maximization
- finite mixtures
- machine learning
- statistical model
- k means