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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2016
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| 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 |