A reduction technique for nearest-neighbor classification: Small groups of examples
Miroslav Kubát, Martin Cooperson · Intelligent Data Analysis · 2001
An important issue in nearest-neighbor classifiers is how to reduce the size of large sets of examples. Whereas many researchers recommend to replace the original set with a carefully selected subset, we investigate a mechanism that creates three or