Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias.
Binh TranBing XueMengjie ZhangSu NguyenPublished in: Connect. Sci. (2016)
Keyphrases
- high dimensional data
- particle swarm optimisation
- feature selection
- global search
- high dimensionality
- dimensionality reduction
- small sample size
- low dimensional
- nearest neighbor
- optimisation problems
- search algorithm
- global optimization
- high dimensional
- optimization algorithm
- convergence speed
- linear discriminant analysis
- genetic algorithm
- subspace clustering
- particle swarm optimization
- data sets
- fitness function
- particle swarm optimization algorithm
- genetic algorithm ga
- search space
- premature convergence
- simulated annealing
- data points
- text categorization
- pso algorithm
- search capabilities
- data analysis
- feature set
- evolution strategy
- feature space
- particle swarm
- feature extraction
- model selection
- text classification
- pattern recognition
- optimal solution
- clustering high dimensional data
- genetic programming
- particle swarm optimizer
- evolutionary computation
- tabu search
- input data
- computational intelligence
- principal component analysis
- support vector machine
- support vector
- objective function
- machine learning
- neural network