Feature Space Manipulation and Fusion for Severe Imbalanced Data.
Tong ZhouFengming LiangJiachi LiuSishi XiongBo XiaoQiao ChenJun ZhouXueqin XieLizhi JinPublished in: IC-NIDC (2023)
Keyphrases
- imbalanced data
- feature space
- feature selection
- support vector machine
- high dimensionality
- class distribution
- data fusion
- linear regression
- input space
- high dimensional
- random forest
- ensemble methods
- kernel function
- feature vectors
- training samples
- classification accuracy
- mean shift
- fusion method
- data points
- information fusion
- training set
- sampling methods
- ensemble classifier
- decision trees
- multi sensor
- input data
- feature extraction
- dimensionality reduction
- svm classifier
- feature set
- principal component analysis
- support vector machine svm
- hyperplane
- classification models
- low dimensional
- original data
- minority class
- class imbalance
- data sets
- decision boundary
- classification error
- generalization ability