K nearest neighbor classification is one of the most successfully used methods in pattern recognition. Despite its simplicity and effectiveness, it suffers from several shortcomings referring to high computational cost, high storage requirement and sensitivity to noise. Prototype generation is an appropriate data reduction process to alleviate these problems. This paper employs particle swarm o...
