Machine learning using Bernoulli mixture models: Clustering, rule extraction and dimensionality reduction.
Mehreen SaeedKashif JavedHaroon Atique BabriPublished in: Neurocomputing (2013)
Keyphrases
- mixture model
- rule extraction
- unsupervised learning
- dimensionality reduction
- machine learning
- feature selection
- density estimation
- mixture modeling
- gaussian mixture model
- model selection
- high dimensional data
- rough sets
- neural network
- black box
- probabilistic model
- pattern recognition
- em algorithm
- model based clustering
- data points
- bayesian information criterion
- expectation maximization
- fuzzy rules
- classification rules
- low dimensional
- rough set theory
- semi supervised learning
- finite mixture models
- clustering algorithm
- clustering method
- exponential family
- maximum likelihood
- generative model
- dirichlet process
- supervised learning
- cluster analysis
- high dimensional
- language model
- association rules
- principal component analysis
- k means
- feature extraction
- nearest neighbor
- learning algorithm
- active learning
- decision trees
- genetic algorithm
- decision rules
- rule sets
- expert systems
- training data
- text mining