Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials.
José A. GámezRafael RumíAntonio SalmerónPublished in: Probabilistic Graphical Models (2006)
Keyphrases
- data clustering
- naive bayes
- unsupervised learning
- unsupervised feature selection
- text classification
- mixture model
- decision trees
- classification accuracy
- training data
- cluster analysis
- naive bayes classifier
- logistic regression
- text categorization
- expectation maximization
- feature selection
- supervised learning
- bayesian networks
- clustering algorithm
- averaged one dependence estimators
- spectral clustering
- bayesian network classifiers
- k means
- semi supervised
- object recognition
- semi supervised learning
- augmented naive bayes
- labeled data
- feature space
- em algorithm
- data sets
- dimensionality reduction
- maximum likelihood
- unlabeled data
- knn
- probabilistic model
- active learning
- learning algorithm