Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems.
Kourosh NeshatianMengjie ZhangPublished in: EuroGP (2008)
Keyphrases
- dimension reduction
- genetic programming
- principal component analysis
- high dimensional problems
- feature extraction
- high dimensional
- random projections
- partial least squares
- feature construction
- unsupervised learning
- variable selection
- feature space
- manifold learning
- high dimensionality
- discriminative information
- low dimensional
- high dimensional data
- cluster analysis
- feature selection
- linear discriminant analysis
- evolutionary algorithm
- data mining and machine learning
- preprocessing
- high dimensional data analysis
- dimensionality reduction
- pairwise
- genetic algorithm
- machine learning
- knowledge discovery
- pattern recognition
- bayesian networks
- scatter matrices
- generative topographic mapping
- database