A parameter-free nearest neighbor algorithm with reduced prediction time and improved performance through injected randomness

K-nearest neighbor is considered in top machine learning algorithms because of its effectiveness in pattern classification and simple implementation. However, usage of KNN is limited due to its larger prediction time than model-based machine learning algorithms, its sensitivity to the existing outli...

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