In the last years, Machine Learning has been enjoying a novel surge of use in applications and problems from different domains, leveraging its power and allowing automation in various situations. This is for sure because of the big increase in data availability, in better computational power and in the improvement of Machine Learning techniques. [...] Computer networking can also benefit from this technology [...]. The aim is to study how the users exchange information (and which kind of information) through the network and find out a solid methodology in order to cluster local area network (LAN) users that share similar behaviour, allowing to exploit this discovery for resource management and anomalous activities identification.