A Cooperative Coevolutionary Approach to Discretization-Based Feature Selection for High-Dimensional Data.
Yu ZhouJunhao KangXiao ZhangPublished in: Entropy (2020)
Keyphrases
- high dimensional data
- feature selection
- high dimensionality
- dimensionality reduction
- dimension reduction
- low dimensional
- high dimensional
- gene expression data
- nearest neighbor
- data analysis
- similarity search
- high dimensions
- data sets
- subspace clustering
- data points
- lower dimensional
- manifold learning
- feature extraction
- data distribution
- nonlinear dimensionality reduction
- text categorization
- missing values
- dimensional data
- feature space
- small sample size
- high dimensional spaces
- high dimensional datasets
- original data
- support vector machine
- feature selection algorithms
- text classification
- clustering high dimensional data
- machine learning
- variable selection
- input space
- model selection
- feature subset
- subspace learning
- microarray data
- linear discriminant analysis
- classification accuracy
- high dimensional data sets
- preprocessing step
- input data
- feature set
- informative features
- training data
- low dimensional structure
- variable weighting