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Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
K-Nearest Neighbor is a non-parametric classification algorithm that does not use training data and initial assumptions or models in the calculation process. The quality of the k-Nearest Neighbor classification results is very dependent on distance between object and value of k specified, so the selection for distance measurement method determines the results of classification. This study compares several distance measurement method, including Euclidean distance, Manhattan distance, Tchebychevdoi:10.2991/aisr.k.200424.054 fatcat:hcpcdbgqljhkrh5jbl4lfkp27q