Initializing the EM algorithm in Gaussian mixture models with an unknown number of components.
Volodymyr MelnykovIgor MelnykovPublished in: Comput. Stat. Data Anal. (2012)
Keyphrases
- em algorithm
- gaussian mixture model
- mixture model
- expectation maximization
- mixture components
- maximum likelihood
- parameter estimation
- maximum likelihood estimation
- gaussian mixture
- finite mixtures
- density estimation
- mixture distribution
- feature vectors
- log likelihood function
- expectation maximisation
- hyperparameters
- probabilistic model
- gaussian distribution
- generative model
- probability density function
- incomplete data
- finite mixture model
- variational bayes
- mixture of gaussians
- likelihood function
- bayesian information criterion
- log likelihood
- unsupervised learning
- mixture modeling
- probability density
- feature space
- finite mixture models
- pairwise