Parsimonious skew mixture models for model-based clustering and classification.
Irene VrbikPaul D. McNicholasPublished in: Comput. Stat. Data Anal. (2014)
Keyphrases
- mixture model
- model based clustering
- finite mixture models
- em algorithm
- density estimation
- unsupervised learning
- model selection
- gaussian mixture model
- probabilistic model
- expectation maximization
- mixture modeling
- generative model
- hierarchical clustering
- image classification
- clustering algorithm
- machine learning
- maximum likelihood
- pattern recognition
- text classification
- feature selection
- bayesian information criterion
- support vector
- feature extraction
- language model
- cross validation
- learning algorithm
- decision trees
- feature vectors
- class labels
- reinforcement learning
- document retrieval
- document clustering
- pairwise
- image processing
- high dimensional
- semantic video
- supervised learning
- information retrieval