Resampling approach for cluster model selection.
Zeev VolkovichZeev BarzilyGerhard-Wilhelm WeberDvora Toledano-KitaiRenata AvrosPublished in: Mach. Learn. (2011)
Keyphrases
- model selection
- cross validation
- regression model
- sample size
- bayesian learning
- clustering algorithm
- parameter estimation
- hyperparameters
- statistical learning
- error estimation
- meta learning
- motion segmentation
- feature selection
- selection criterion
- machine learning
- variable selection
- gaussian process
- mixture model
- statistical inference
- generalization error
- information criterion
- unsupervised learning
- data points
- marginal likelihood
- bayesian model selection
- hypothesis tests
- automatic model selection