A Classifier Combining Local Distance Mean and Centroid for Imbalanced Datasets.
Yingying ZhaoXingcheng LiuPublished in: ChinaCom (2) (2019)
Keyphrases
- imbalanced datasets
- cost sensitive learning
- highly skewed
- training dataset
- decision trees
- feature selection algorithms
- learning from imbalanced data
- class distribution
- class imbalance
- minority class
- cost sensitive
- feature selection
- support vector machine
- imbalanced data
- ensemble methods
- training data
- training set
- sampling methods
- rare class
- active learning
- distance measure
- missing values
- probability estimation
- learning algorithm
- training samples
- feature set
- ensemble classifier
- decision boundary
- test set
- data sets
- classification algorithm
- linear classifiers
- euclidean distance
- support vector
- classification error