Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data.
Juan Carlos Gómez-LópezJuan José EscobarAntonio Francisco DíazMiguel DamasFrancisco Gil MontoyaJesús GonzálezPublished in: GECCO Companion (2022)
Keyphrases
- feature selection
- high dimensional data
- high dimensionality
- dimensionality reduction
- small sample size
- high dimensions
- high dimensional
- dimension reduction
- regression problems
- data sets
- feature space
- nearest neighbor
- subspace clustering
- data analysis
- gene expression data
- input space
- high dimensional datasets
- low dimensional
- classification accuracy
- linear discriminant analysis
- machine learning
- text categorization
- feature ranking
- support vector
- feature selection algorithms
- clustering high dimensional data
- missing values
- similarity search
- feature extraction
- variable selection
- microarray data
- lower dimensional
- subspace learning
- dimensional data
- high dimensional spaces
- clustering method
- principal component analysis
- real world
- high dimensional data sets
- neural network