SMOTE-LMKNN: A Synthetic Minority Oversampling Technique Based on Local Means-Based k-Nearest Neighbor.
Shuang LiuPublished in: Int. J. Pattern Recognit. Artif. Intell. (2022)
Keyphrases
- k nearest neighbor
- knn
- minority class
- nearest neighbour
- nearest neighbor
- support vector machine
- class imbalance
- majority class
- class distribution
- class imbalanced
- text categorization
- knn classifier
- support vector machine svm
- imbalanced data
- neural network
- knn algorithm
- hierarchical document clustering
- vowel recognition
- decision boundary
- feature selection
- k nearest neighbour
- classification algorithm
- distance function
- cost sensitive learning
- graph construction
- text classification
- training data
- imbalanced datasets
- prediction accuracy
- training set
- classification error