Journal article Open Access

NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier

Yaman Akbulut; Abdulkadir Sengur; Yanhui Guo; Florentin Smarandache

k-nearest neighbors (k-NN), which is known to be a simple and efficient approach, is a non-parametric supervised classifier. It aims to determine the class label of an unknown sample by its k-nearest neighbors that are stored in a training set. The k-nearest neighbors are determined based on some distance functions.

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