A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory.
Liam CervanteBing XueLin ShangMengjie ZhangPublished in: Australasian Conference on Artificial Intelligence (2012)
Keyphrases
- dimension reduction
- rough set theory
- rough sets
- particle swarm optimisation
- decision rules
- feature extraction
- decision table
- high dimensional
- principal component analysis
- attribute reduction
- high dimensionality
- feature space
- high dimensional data
- unsupervised learning
- singular value decomposition
- feature selection
- low dimensional
- pattern recognition
- knowledge discovery
- cluster analysis
- preprocessing
- support vector
- databases
- linear discriminant analysis
- data analysis
- computer vision
- optimisation problems
- support vector machine svm
- simulated annealing
- dimensionality reduction
- data reduction
- genetic algorithm