  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.
