Model Selection and Stability in k-means Clustering.
Ohad ShamirNaftali TishbyPublished in: COLT (2008)
Keyphrases
- model selection
- cross validation
- regression model
- hyperparameters
- parameter estimation
- sample size
- bayesian learning
- mixture model
- motion segmentation
- k means
- machine learning
- generalization error
- statistical inference
- selection criterion
- error estimation
- leave one out cross validation
- variable selection
- meta learning
- marginal likelihood
- model selection criteria
- automatic model selection
- statistical learning
- gaussian process
- generalization bounds
- feature selection
- bayesian methods
- prior knowledge
- information criterion
- image segmentation
- hypothesis tests
- decision trees
- bayesian model selection