David Claus and Christoph F. Eick: Nearest Neighbor Editing and Condensing Techniques Nearest Neighbor Editing and Condensing Techniques 1.Nearest Neighbor. - ppt download
PDF] Introduction to k Nearest Neighbour Classification and Condensed Nearest Neighbour Data Reduction | Semantic Scholar
Undersampling Algorithms for Imbalanced Classification - MachineLearningMastery.com
Condensed Nearest Neighbor Rule Undersampling (CNN) & TomekLinks | by Bob Rupak Roy - II | Medium
GitHub - gracezhouying/CondensedNearestNeighbor: Use Condensed Nearest Neighbor to choose subset of MNIST dataset
인사이드 머신러닝] 불균형 데이터 샘플링
PDF] Fast condensed nearest neighbor rule | Semantic Scholar
Condensed nearest neighbor (CNN) | Download Table
Handling imbalanced dataset in supervised learning using family of SMOTE algorithm. - DataScienceCentral.com
Introduction to kNN Classification and CNN Data Reduction
K-Nearest Neighbors. - ppt download
The Condensed Nearest Neighbor Algorithm (CNN). | Download Table
Solved Condensed Nearest Neighbor (CNN) Data reduction | Chegg.com
Survey of resampling techniques for improving classification performance in unbalanced datasets
Quad division prototype selection-based k-nearest neighbor classifier for click fraud detection from highly skewed user click dataset - ScienceDirect
Introduction to kNN Classification and CNN Data Reduction