The alpha-EM algorithm and its basic properties.
Yasuo MatsuyamaPublished in: Systems and Computers in Japan (2000)
Keyphrases
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood
- gaussian mixture model
- maximum likelihood estimation
- generative model
- parameter estimation
- gaussian mixture
- expectation maximisation
- likelihood function
- probability density function
- incomplete data
- mixture modeling
- maximum a posteriori
- model based clustering
- penalized likelihood
- likelihood maximization
- parameter learning
- probabilistic model
- density estimation
- log likelihood
- hidden variables
- gibbs sampling
- log likelihood function
- bayesian framework