Generalized Identifiability Bounds for Mixture Models With Grouped Samples.
Robert A. VandermeulenRené SaitenmacherPublished in: IEEE Trans. Inf. Theory (2024)
Keyphrases
- mixture model
- gaussian mixture model
- dirichlet distribution
- em algorithm
- probabilistic model
- density estimation
- generative model
- data sets
- expectation maximization
- maximum likelihood
- model selection
- unsupervised learning
- language model
- mixture modeling
- upper bound
- training set
- finite mixtures
- probability density function
- automatic model selection
- training samples
- causal models
- object recognition
- training data
- learning process
- bayesian information criterion
- model based clustering
- dirichlet prior
- similarity measure
- data mining