Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
Abstract: The study aims to optimize the classification of reception of training participants using the K-Nearest Neighbors (KNN) algorithm by finding the optimal value for the K parameter through a ...
A team of researchers from Universidad Carlos III de Madrid (UC3M) and Universidad Politécnica de Madrid (UPM) has developed an innovative algorithm for Wi‑Fi networks called "Ponte" that can provide ...
Abstract: This paper explores the application of KNN for identifying and analyzing dissolved gases in power transformer (PT) oil. We want to make a strong diagnostic model that can correctly classify ...