Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions - The tEIGEN family.
Jeffrey L. AndrewsPaul D. McNicholasPublished in: Stat. Comput. (2012)
Keyphrases
- discriminant analysis
- feature extraction
- model based clustering
- discriminant functions
- fisher linear discriminant analysis
- fisher criterion
- linear discriminant analysis
- classification accuracy
- principal component analysis
- pattern recognition
- kernel discriminant analysis
- mixture model
- face recognition
- expectation maximization
- decision trees
- machine learning
- discriminant subspace
- support vector machine svm
- model selection
- unsupervised learning
- image classification
- training set
- feature selection
- dimensionality reduction
- image feature extraction
- support vector machine
- image processing
- em algorithm
- regression model
- cross validation
- dimension reduction
- bayesian information criterion
- supervised learning
- feature vectors