Nearest Neighbor Classifier – From Theory to Practice

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Date

2020-01-11

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Volume Title

Publisher

Machine Learning Mindset

Abstract

The K-nearest neighbors (KNNs) classifier or simply Nearest Neighbor Classifier is a kind of supervised machine learning algorithm that operates based on spatial distance measurements. In this article, we investigate the theory behind it. Furthermore, a working example of the k-nearest neighbor classifier will be represented.

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Keywords

Machine learning, Supervised Learning, Nearest Neighbor Algorithm

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