Pattern recognition frequency-based feature selection with multi-objective discrete evolution strategy for high-dimensional medical datasets.
Hossein NematzadehJosé García-NietoJosé Francisco Aldana MontesIsmael Navas-DelgadoPublished in: Expert Syst. Appl. (2024)
Keyphrases
- evolution strategy
- multi objective
- evolutionary algorithm
- pattern recognition
- high dimensional
- feature selection
- dimensionality reduction
- continuous domains
- multi objective optimization
- high dimensionality
- differential evolution
- high dimensional datasets
- optimization algorithm
- genetic algorithm
- feature selection algorithms
- feature extraction
- optimization problems
- particle swarm optimization
- cma es
- feature space
- machine learning
- microarray data
- gene expression data
- genetic operators
- nsga ii
- low dimensional
- microarray datasets
- objective function
- image processing
- high dimensional data
- high dimension
- text categorization
- genetic programming
- simulated annealing
- particle swarm optimization algorithm
- computer vision
- fitness function
- support vector machine svm
- discrete data
- small sample
- multi objective optimization problems
- neural network
- global search
- multiple objectives
- variable selection
- support vector
- feature subset
- nearest neighbor
- optimization methods
- classification accuracy
- multi objective evolutionary algorithms
- candidate solutions
- data points
- model selection
- support vector machine
- feature set