Evolutionary feature selection on high dimensional data using a search space reduction approach.
Miguel García-TorresRoberto RuizFederico DivinaPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- high dimensional data
- search space reduction
- feature selection
- high dimensionality
- dimensionality reduction
- dimension reduction
- low dimensional
- high dimensional
- nearest neighbor
- gene expression data
- data sets
- high dimensions
- subspace clustering
- similarity search
- data points
- lower dimensional
- data analysis
- search space
- text categorization
- input space
- feature space
- small sample size
- genetic algorithm
- missing values
- feature extraction
- nonlinear dimensionality reduction
- machine learning
- preprocessing step
- dimensional data
- support vector
- feature set
- feature subset
- high dimensional spaces
- high dimensional datasets
- model selection
- selected features
- subspace learning
- input data
- text mining
- cost function
- support vector machine
- pattern recognition
- variable selection
- euclidean distance
- text classification
- informative features