Keyphrases
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood
- parameter estimation
- maximum likelihood estimation
- gaussian mixture model
- log likelihood
- generative model
- incomplete data
- maximum a posteriori
- expectation maximisation
- gibbs sampling
- likelihood function
- mixture distribution
- mixture modeling
- gaussian mixture
- likelihood maximization
- unsupervised learning
- least squares
- probabilistic model
- model based clustering
- matrix factorisation
- parameter learning
- hidden variables
- bayesian framework
- probability distribution