Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data.
Wenbin PeiBing XueLin ShangMengjie ZhangPublished in: Australasian Conference on Artificial Intelligence (2018)
Keyphrases
- high dimensional data
- genetic programming
- granular computing
- regression problems
- high dimensionality
- dimension reduction
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensional
- rough sets
- small sample size
- subspace clustering
- data points
- manifold learning
- data analysis
- pattern recognition
- data sets
- feature space
- input space
- multivariate temporal data
- rough set theory
- evolutionary computation
- fuzzy sets
- support vector
- clustering high dimensional data
- high dimensional spaces
- nonlinear dimensionality reduction
- feature extraction
- machine learning
- text classification
- linear discriminant analysis
- information processing
- high dimensional datasets
- soft computing
- decision rules
- similarity search
- input data
- fuzzy logic
- feature vectors
- feature selection
- neural network
- classification algorithm
- semi supervised
- face recognition
- high dimensional data sets
- data mining
- variable weighting