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A comparative study of performance of K-nearest neighbors and support vector machines for classification of groundwater

M. Sakizadeh; R. Mirzaei

Volume 7, Issue 2 , July 2016, , Pages 149-164

https://doi.org/10.22044/jme.2016.480

Abstract
  The aim of this work is to examine the feasibilities of the support vector machines (SVMs) and K-nearest neighbor (K-NN) classifier methods for the classification of an aquifer in the Khuzestan Province, Iran. For this purpose, 17 groundwater quality variables including EC, TDS, turbidity, pH, total ...  Read More