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Improving the Accuracy of the KNN Method When Using an Even Number K of Neighbors

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International Conference on Biomedical and Health Informatics (ICBHI 2015)

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Abstract

The kNN (k Nearest Neighbors) method is a classification method that could show low accuracy figures for even values of k. This paper details one method to improve the accuracy of the kNN method for those cases. It also shows one method that could improve the accuracy of it for biased classification sets and for odd values of k.

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Correspondence to Alberto Palacios Pawlovsky .

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Pawlovsky, A.P., Kurematsu, D. (2019). Improving the Accuracy of the KNN Method When Using an Even Number K of Neighbors. In: Zhang, YT., Carvalho, P., Magjarevic, R. (eds) International Conference on Biomedical and Health Informatics. ICBHI 2015. IFMBE Proceedings, vol 64. Springer, Singapore. https://doi.org/10.1007/978-981-10-4505-9_8

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  • DOI: https://doi.org/10.1007/978-981-10-4505-9_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4504-2

  • Online ISBN: 978-981-10-4505-9

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