An improved group teaching optimization algorithm based on local search and chaotic map for feature selection in high-dimensional data.
Hamed KhosraviBabak AmiriNavid YazdanjueVahide BabaiyanPublished in: Expert Syst. Appl. (2022)
Keyphrases
- optimization algorithm
- high dimensional data
- chaotic map
- dimensionality reduction
- feature selection
- high dimensionality
- multi objective
- low dimensional
- nearest neighbor
- piecewise linear
- high dimensional
- similarity search
- image encryption
- particle swarm optimization pso
- inertia weight
- optimization method
- subspace clustering
- hash functions
- data sets
- data points
- data analysis
- genetic algorithm
- differential evolution
- data distribution
- global search
- feature extraction
- feature space
- optimal solution
- multi dimensional
- particle swarm optimization
- feature set
- machine learning
- principal component analysis
- input space
- search space
- search algorithm
- s box
- simulated annealing
- combinatorial optimization
- knn
- pattern recognition
- database systems
- data mining