Detecting Dataset Drift and Non-IID Sampling via k-Nearest Neighbors.
Jesse CummingsElías SnorrasonJonas MuellerPublished in: CoRR (2023)
Keyphrases
- k nearest neighbor
- knn
- nearest neighbor
- k nearest
- classification algorithm
- knn classifier
- input space
- support vector machine
- high dimensional
- multi class
- neural network
- bayes error
- nearest neighbor algorithm
- distance measurement
- text classification
- feature set
- feature selection
- knn classification
- distance computation
- nearest neighbor search
- concept drift
- similarity search
- sufficient conditions