Keyphrases
- em algorithm
- expectation maximization
- mixture model
- asymptotic convergence
- gaussian mixture model
- mixture modeling
- gaussian mixture
- finite mixture model
- maximum likelihood
- mixture distribution
- generative model
- parameter estimation
- finite mixture models
- log likelihood
- maximum likelihood estimation
- density estimation
- probabilistic model
- likelihood function
- maximum a posteriori
- unsupervised learning
- expectation maximisation
- bayesian framework
- probability density function
- mixture components
- model based clustering
- maximum likelihood estimates
- model selection
- image segmentation
- penalized likelihood
- language model
- k means