Model selection for Gaussian latent block clustering with the integrated classification likelihood.
Aurore LometGérard GovaertYves GrandvaletPublished in: Adv. Data Anal. Classif. (2018)
Keyphrases
- model selection
- cross validation
- unsupervised learning
- selection criterion
- hyperparameters
- likelihood function
- statistical learning
- bayesian learning
- bayesian information criterion
- regression model
- machine learning
- parameter estimation
- maximum likelihood
- feature selection
- error estimation
- sample size
- mixture model
- model selection criteria
- statistical inference
- parameter determination
- leave one out cross validation
- marginal likelihood
- bayesian methods
- variable selection
- clustering method
- cluster analysis
- classification accuracy
- clustering algorithm
- generalization error
- k means
- feature vectors
- gaussian mixture model
- training set
- support vector