Feature selection for high-dimensional classification using a competitive swarm optimizer.
Shenkai GuRan ChengYaochu JinPublished in: Soft Comput. (2018)
Keyphrases
- feature selection
- high dimensionality
- high dimensional
- classification accuracy
- feature space
- text classification
- support vector machine
- feature set
- machine learning
- classification models
- dimension reduction
- high dimension
- dimensionality reduction
- image classification
- feature extraction
- support vector
- small sample
- small sample size
- feature selection algorithms
- decision trees
- pattern recognition
- accurate classification
- support vector machine svm
- unsupervised learning
- low dimensional
- text categorization
- classification algorithm
- particle swarm optimization
- feature vectors
- feature ranking
- feature subset
- classification performances
- class separability
- conditional mutual information
- feature reduction
- swarm intelligence
- gene expression data
- classification method
- query optimization
- optimization algorithm
- mutual information
- training set
- class imbalance
- classification rate
- selected features
- discriminative features
- bayes classifier
- knn
- data pre processing
- multi objective