Modelo de aprendizaje no supervisado aplicado a un conjunto de datos de casas kyoto basado en un enfoque de clustering

Human Activity Recognition (HAR) is a topic of great relevance due to its wide range of applications, with various approaches being proposed to recognize these activities, from comparing signals with thresholds to applying machine learning and deep learning techniques. The development of computation...