· 2015
An Empirical Study of Distance Metrics for k-Nearest Neighbor Algorithm
- 202citations
- 2015year
Short summary
Six distance metrics (City block, Chebyshev, Euclidean, Mahalanobis, Minkowski, Standardized Euclidean) achieved high prediction accuracy for k-NN classification on synthetic datasets.
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Computational MathematicsMathematics