A Model Selection Approach for Clustering a Multinomial Sequence with Non-Negative Factorization.
Nam H. LeeRunze TangCarey E. PriebeMichael A. RosenPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2016)
Keyphrases
- model selection
- bayesian information criterion
- unsupervised learning
- cross validation
- hyperparameters
- clustering algorithm
- tensor factorization
- sample size
- mixture model
- parameter estimation
- clustering method
- bayesian learning
- model selection criteria
- regression model
- feature selection
- information criterion
- k means
- variable selection
- error estimation
- machine learning
- spectral clustering
- generalization error
- text classification
- matrix factorization
- naive bayes
- motion segmentation
- gaussian process
- data points
- selection criterion
- automatic model selection
- pairwise
- probabilistic model
- exponential family
- semi supervised
- singular value decomposition
- maximum likelihood