Classification of large data sets with mixture models via sufficient EM.
Peter M. SteinerMarcus HudecPublished in: Comput. Stat. Data Anal. (2007)
Keyphrases
- mixture model
- density estimation
- em algorithm
- gaussian mixture model
- expectation maximization
- unsupervised learning
- model selection
- probabilistic model
- generative model
- maximum likelihood
- decision trees
- language model
- data sets
- feature vectors
- pattern recognition
- supervised learning
- image classification
- finite mixture models
- subspace analysis
- text classification
- classification accuracy
- support vector
- feature selection
- feature space
- cross validation
- probability density function
- feature extraction
- mixture modeling
- machine learning
- topic models
- class labels
- gaussian mixture
- exponential family