Discrete Particle Swarm Optimization and EM Hybrid Approach for Naive Bayes Clustering.
Jing-Hua GuanDayou LiuSi-Pei LiuPublished in: ICONIP (2) (2006)
Keyphrases
- naive bayes
- discrete particle swarm optimization
- decision trees
- classification accuracy
- k means
- text classification
- logistic regression
- naive bayes classifier
- text categorization
- unsupervised learning
- training data
- traveling salesman problem
- bayesian networks
- clustering algorithm
- feature selection
- swarm intelligence
- web service composition
- averaged one dependence estimators
- particle swarm optimization
- bayesian network classifiers
- augmented naive bayes
- expectation maximization
- natural language processing
- supervised learning
- data points
- probabilistic model
- attribute dependencies
- em algorithm
- particle swarm optimization algorithm
- optimization methods
- solution quality
- semi supervised learning
- data sets
- optimization problems
- learning algorithm
- neural network