Pareto front feature selection: using genetic programming to explore feature space.
Kourosh NeshatianMengjie ZhangPublished in: GECCO (2009)
Keyphrases
- feature space
- feature selection
- high dimensionality
- feature set
- classification accuracy
- multi objective
- dimensionality reduction
- feature vectors
- feature subset
- high dimensional
- principal component analysis
- dimension reduction
- input space
- text classification
- training samples
- text categorization
- discriminatory power
- high dimension
- feature extraction
- mean shift
- kernel function
- data points
- mutual information
- support vector machine
- image representation
- unsupervised feature selection
- unsupervised learning
- low dimensional
- irrelevant features
- discriminative features
- dot product
- high dimensional feature space
- multiobjective optimization
- information gain
- multi objective optimization
- input data
- particle swarm optimization
- kernel methods