Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions.
Katherine MorrisPaul D. McNicholasLuca ScruccaPublished in: Adv. Data Anal. Classif. (2013)
Keyphrases
- dimension reduction
- model based clustering
- mixture model
- expectation maximization
- unsupervised learning
- em algorithm
- high dimensional
- principal component analysis
- feature extraction
- variable selection
- singular value decomposition
- low dimensional
- hierarchical clustering
- generative topographic mapping
- high dimensional data
- gaussian mixture model
- feature selection
- cluster analysis
- k means
- generative model
- language model
- dimensionality reduction
- linear discriminant analysis
- probabilistic model
- high dimensionality
- document clustering
- maximum likelihood
- bayesian information criterion
- vector space model
- pattern recognition
- feature space
- clustering algorithm
- image segmentation
- model selection
- data sets
- information retrieval