Improving the Accuracy of Nearest-Neighbor Classification Using Principled Construction and Stochastic Sampling of Training-Set Centroids.
Stephen WhitelamPublished in: Entropy (2021)
Keyphrases
- nearest neighbor classification
- stochastic sampling
- training set
- nearest neighbor
- classification accuracy
- locally adaptive
- training data
- data points
- supervised learning
- k nearest neighbor
- clustering algorithm
- computationally inexpensive
- k means
- feature space
- distance function
- distance measure
- nearest neighbor classifier
- cross validation
- computer vision
- high dimensional
- support vector