Prototype Selection Using Self-Organizing-Maps and Entropy for Overlapped Classes and Imbalanced Data.
Marcio RubboLeandro A. SilvaPublished in: IJCNN (2018)
Keyphrases
- imbalanced data
- prototype selection
- feature selection
- class distribution
- selection algorithm
- nearest neighbor classifier
- linear regression
- nearest neighbor
- minority class
- decision trees
- classification models
- random forest
- class imbalance
- sampling methods
- nearest neighbor classification
- ensemble learning
- preprocessing step
- class labels
- training set
- neural network