From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering.
Sylvia Frühwirth-SchnatterGertraud Malsiner-WalliPublished in: Adv. Data Anal. Classif. (2019)
Keyphrases
- mixture model
- model based clustering
- dirichlet process
- dirichlet processes
- em algorithm
- expectation maximization
- gaussian mixture model
- probabilistic model
- density estimation
- generative model
- maximum likelihood
- model selection
- language model
- unsupervised learning
- probability density function
- mixture modeling
- parameter estimation
- bayesian information criterion
- learning tasks
- learning problems
- gaussian processes
- multi task learning
- semi supervised
- probability distribution
- image segmentation