Binary particle swarm optimisation and rough set theory for dimension reduction in classification.
Liam CervanteBing XueLin ShangMengjie ZhangPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- dimension reduction
- rough set theory
- rough sets
- particle swarm optimisation
- decision rules
- feature extraction
- principal component analysis
- high dimensional
- decision table
- high dimensionality
- feature space
- low dimensional
- attribute reduction
- feature selection
- cluster analysis
- singular value decomposition
- high dimensional data
- dimensionality reduction
- unsupervised learning
- data reduction
- knowledge discovery
- global optimization
- linear discriminant analysis
- pattern recognition
- neural network
- optimisation problems
- data analysis
- real world
- machine learning
- pso algorithm
- artificial intelligence
- preprocessing
- training set
- feature vectors
- particle swarm optimization
- support vector machine
- supervised learning
- genetic algorithm
- optimization algorithm
- support vector machine svm
- databases