Classifying imbalanced data in distance-based feature space.
Shin AndoPublished in: Knowl. Inf. Syst. (2016)
Keyphrases
- imbalanced data
- feature space
- feature selection
- support vector machine
- high dimensionality
- linear regression
- feature vectors
- random forest
- high dimensional
- class distribution
- sampling methods
- classification accuracy
- class imbalance
- dimensionality reduction
- ensemble methods
- svm classifier
- ensemble classifier
- classification models
- distance measure
- input space
- kernel function
- hyperplane
- training set
- mean shift
- training samples
- principal component analysis
- decision trees
- euclidean distance
- input data
- low dimensional
- ensemble learning
- data points
- feature extraction
- feature subset
- supervised learning
- least squares
- face recognition
- minority class