Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data.
Binh TranBing XueMengjie ZhangPublished in: EuroGP (2017)
Keyphrases
- high dimensional data
- feature construction
- genetic programming
- dimension reduction
- dimensionality reduction
- high dimensionality
- subspace clustering
- data points
- low dimensional
- nearest neighbor
- high dimensional
- data sets
- high dimensional data sets
- data representation
- high dimensional datasets
- similarity search
- data analysis
- manifold learning
- decision trees
- data distribution
- evolutionary algorithm
- clustering high dimensional data
- linear discriminant analysis
- feature selection
- principal component analysis
- feature vectors
- high dimensional spaces
- machine learning
- rule learning
- similarity measure
- cluster analysis
- concept learning
- feature space
- feature extraction