Anomaly detection is the task of detecting samples that behave differently from rest data or include abnormal values. Unsupervised anomaly most common scenario, which implies algorithms cannot train with a labeled input and do not know behavior beforehand. Histogram-based methods are one approaches in unsupervised detection, remarking good performance low runtime. Despite performance, histogram...