Singularities in mixture models and upper bounds of stochastic complexity.
Keisuke YamazakiSumio WatanabePublished in: Neural Networks (2003)
Keyphrases
- mixture model
- upper bound
- worst case
- gaussian mixture model
- em algorithm
- lower bound
- probabilistic model
- generative model
- density estimation
- expectation maximization
- finite mixtures
- mixture modeling
- model selection
- upper and lower bounds
- automatic model selection
- probability density function
- unsupervised learning
- maximum likelihood
- lower and upper bounds
- minimum message length
- data sets
- sample size
- model based clustering
- subspace analysis
- high dimensional
- machine learning