Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm.
Claudio De StefanoFrancesco FontanellaAlessandra Scotto di FrecaPublished in: EvoApplications (1) (2017)
Keyphrases
- high dimensional data
- genetic algorithm
- feature selection
- dimensionality reduction
- high dimensionality
- dimension reduction
- high dimensional
- nearest neighbor
- low dimensional
- data sets
- subspace clustering
- original data
- data analysis
- gene expression data
- similarity search
- high dimensions
- text categorization
- data points
- manifold learning
- subspace learning
- linear discriminant analysis
- missing values
- feature subset
- feature space
- high dimensional datasets
- text classification
- variable selection
- input data
- evolutionary algorithm
- high dimensional spaces
- input space
- small sample size
- preprocessing step
- clustering high dimensional data
- feature extraction
- euclidean distance
- dimensional data
- lower dimensional
- principal component analysis
- text data
- genetic programming
- genetic algorithm ga
- microarray data
- feature selection algorithms
- support vector machine
- knn
- training set
- computer vision
- machine learning
- high dimensional data sets
- database