Guided Particle Adaptation PSO for Feature Selection on High-dimensional Classification.
Mingshen HuangWeiwei YuanDonghai GuanMengze LuÇetin Kaya KoçPublished in: ICIC (1) (2024)
Keyphrases
- feature selection
- high dimensionality
- high dimensional
- feature space
- classification accuracy
- text classification
- dimension reduction
- feature extraction
- machine learning
- method for feature selection
- small sample
- discriminative features
- classification models
- irrelevant features
- support vector machine
- support vector
- classification performances
- unsupervised learning
- feature selection algorithms
- feature vectors
- classification algorithm
- text categorization
- particle swarm optimization
- pattern recognition
- feature set
- classification method
- dimensionality reduction
- small sample size
- naive bayes
- mutual information
- gene expression data
- class separability
- feature subset
- particle swarm optimization algorithm
- high dimension
- particle swarm optimizer
- decision trees
- multi task
- model selection
- feature selection and classification
- image classification
- multi class
- data points
- feature reduction
- data sets
- ensemble classifier
- particle swarm
- classification rate
- hybrid algorithm
- training set
- cross validation
- multi objective
- knn