In this paper, we present an overview of Nearest neighbor (NN) methods, which are frequently employed for solving classification problems using supervised learning. The article concisely introduces the theoretical background, algorithmic, and implementation aspects along with the key applications. From an application standpoint, this article explores the challenges related to the 5G and beyond wireless networks which can be solved using NN classification techniques.

翻译：在本文中,我们概述了近邻(NN)方法,这些方法经常用于通过监督学习解决分类问题。文章简洁地介绍了理论背景、算法和执行方面以及关键应用。从应用的角度来看,这一条探讨了与5G和无线网络之外使用NN分类技术可以解决的挑战。