Using a Genetic Algorithm for Selection of Starting Conditions for the EM Algorithm for Gaussian Mixture Models.
Wojciech KwedloPublished in: CORES (2015)
Keyphrases
- gaussian mixture model
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood
- gaussian mixture
- maximum likelihood estimation
- probability density function
- generative model
- expectation maximisation
- hyperparameters
- parameter estimation
- maximum a posteriori
- log likelihood
- likelihood function
- probability density
- density estimation
- incomplete data
- mixture distribution
- gaussian distribution
- feature vectors
- feature space
- training data
- model based clustering
- image segmentation
- finite mixtures
- selection criterion
- unsupervised learning
- model selection
- feature extraction