A Novel Genetic Algorithm for Feature Selection in Hierarchical Feature Spaces.
Pablo Nascimento da SilvaAlexandre PlastinoAlex Alves FreitasPublished in: SDM (2018)
Keyphrases
- feature space
- feature selection
- genetic algorithm
- high dimensionality
- feature set
- dimensionality reduction
- classification accuracy
- mutual information
- feature vectors
- hierarchical classification
- support vector machine
- information gain
- fitness function
- machine learning
- evolutionary algorithm
- multi objective
- artificial neural networks
- support vector
- image representation
- text classification
- hierarchical structure
- high dimensional
- text categorization
- training samples
- feature weighting
- unsupervised learning
- genetic programming
- feature subspace
- genetic algorithm ga
- kernel methods
- microarray data
- irrelevant features
- hierarchical clustering
- coarse to fine
- feature selection and classifier
- multi task
- multiple features
- neural network
- low dimensional
- simulated annealing
- principal component analysis
- multiscale
- data points
- data sets
- feature extraction
- discriminative features
- training set
- selected features
- image retrieval
- feature selection algorithms
- metaheuristic
- knn
- hyperplane
- multi class
- particle swarm optimization
- kernel function