Model Selection with BIC and ICL Criteria for Binned Data Clustering by Bin-EM-CEM Algorithms.
Hani HamdanJingwen WuPublished in: SMC (2013)
Keyphrases
- model selection
- data clustering
- unsupervised learning
- model selection criteria
- bayesian information criterion
- cross validation
- parameter estimation
- mixture model
- sample size
- marginal likelihood
- clustering algorithm
- selection criterion
- cluster analysis
- spectral clustering
- hyperparameters
- k means
- variable selection
- selection criteria
- feature selection
- machine learning
- learning algorithm
- competitive learning
- leave one out cross validation
- gaussian mixture model
- statistical inference
- data sets
- maximum likelihood
- mutual information
- gaussian process
- information criterion