The problem of anomaly detection is a very challenging problem often faced in data analysis. Whether it is about clustering, classification or some other machine learning problem, it is of great importance to identify anomalies and handle them in some way, in order to achieve optimal model performances. Furthermore, anomalies could often influence the analysis results, which could be the cause of drawing wrong conclusions, affecting the making of important business decisions. Thus, in every data analysis, it is required to accurately define anomalous behaviour in a certain domain, apply appropriate anomaly detection model, extract anomalies from the rest of …