Evolutionary Optimization on k-Nearest Neighbors Classifier for Imbalanced Datasets.
Yu-Hsin ShihChuan-Kang TingPublished in: CEC (2019)
Keyphrases
- k nearest neighbor
- evolutionary optimization
- imbalanced datasets
- knn classifier
- knn
- cost sensitive learning
- support vector machine
- classification algorithm
- nearest neighbor
- multi objective
- k nearest
- decision trees
- nearest neighbour
- training dataset
- minority class
- feature selection
- feature selection algorithms
- class distribution
- genetic algorithm
- support vector machine svm
- cost sensitive
- svm classifier
- text categorization
- training data
- class imbalance
- neural network
- training set
- data sets
- ensemble methods
- class labels
- support vector
- misclassification costs
- sampling methods
- input space
- text classification
- multi class
- missing values
- training samples
- probability estimation
- decision boundary
- machine learning
- learning algorithm
- evolutionary algorithm
- active learning
- feature set
- distance function
- multi label