Keyphrases
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood
- parameter estimation
- generative model
- gaussian mixture model
- incomplete data
- likelihood function
- maximum likelihood estimation
- gibbs sampling
- maximum a posteriori
- hidden variables
- expectation maximisation
- log likelihood
- finite mixture model
- gaussian mixture
- parameter learning
- model based clustering
- likelihood maximization
- matrix factorisation
- probability density function
- unsupervised learning
- model selection
- log likelihood function
- image processing
- penalized likelihood
- machine learning