Abstract: This paper investigates the potential ofapproximate addition for k-means clustering, which is a popular unsupervised machine learning technique. The k-means clustering aims to organize data ...

Abstract: This paper presents an analysis of household different energy situations using the k-means clustering algorithm, based on real-world data collected in Dingle, Ireland. The study begins with ...