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The distance function effect on k-nearest neighbor classification for medical datasets

INTRODUCTION: K-nearest neighbor (k-NN) classification is conventional non-parametric classifier, which has been used as the baseline classifier in many pattern classification problems. It is based on measuring the distances between the test data and each of the training data to decide the final cla...

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Detalles Bibliográficos
Autores principales: Hu, Li-Yu, Huang, Min-Wei, Ke, Shih-Wen, Tsai, Chih-Fong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978658/
https://www.ncbi.nlm.nih.gov/pubmed/27547678
http://dx.doi.org/10.1186/s40064-016-2941-7