On genetic programming representations and fitness functions for interpretable dimensionality reduction.
Thomas UriotMarco VirgolinTanja AlderliestenPeter A. N. BosmanPublished in: CoRR (2022)
Keyphrases
- genetic programming
- fitness function
- dimensionality reduction
- classification rules
- evolutionary computation
- genetic algorithm ga
- symbolic regression
- evolutionary algorithm
- fitness evaluation
- high dimensional
- genetic operators
- low dimensional
- high dimensional data
- principal component analysis
- high dimensionality
- genetic algorithm
- pattern recognition and machine learning
- data representation
- gene expression programming
- evolutionary search
- crossover operator
- structure preserving
- principal components
- feature space
- feature extraction
- feature selection
- evolutionary process
- simulated annealing
- data points
- multi objective
- kernel pca
- pattern recognition
- similarity measure