Addressing overfitting and underfitting in Gaussian model-based clustering.
Jeffrey L. AndrewsPublished in: Comput. Stat. Data Anal. (2018)
Keyphrases
- model based clustering
- expectation maximization
- em algorithm
- mixture model
- hierarchical clustering
- maximum likelihood
- k means
- gaussian mixture model
- agglomerative hierarchical clustering
- cross validation
- clustering algorithm
- vector space model
- document clustering
- bayesian information criterion
- feature selection
- machine learning
- training data
- feature extraction
- model selection
- query expansion
- decision trees
- image processing
- data mining