A Variable Granularity Search-Based Multiobjective Feature Selection Algorithm for High-Dimensional Data Classification.
Fan ChengJunjie CuiQijun WangLei ZhangPublished in: IEEE Trans. Evol. Comput. (2023)
Keyphrases
- high dimensional data
- feature selection algorithms
- high dimensionality
- feature selection
- multi objective
- dimensionality reduction
- dimension reduction
- data sets
- nearest neighbor
- small sample size
- high dimensional
- low dimensional
- subspace clustering
- similarity search
- search algorithm
- feature set
- search space
- data points
- linear discriminant analysis
- gene expression data
- machine learning
- data analysis
- support vector machine
- high dimensional spaces
- decision trees
- feature extraction
- text classification
- feature space
- evolutionary algorithm
- support vector machine svm
- classification models
- support vector
- pattern recognition
- svm classifier
- feature vectors
- unsupervised learning
- knn
- multivariate temporal data
- cross validation
- genetic algorithm
- input data
- classification accuracy
- image classification
- feature subset
- selection algorithm
- selected features
- image data
- supervised learning