The elements, or bricks of the universe are thus classified and in making as many charts as possible, the student will become familiar with the relationships existing among the elements.

One-class classification achieves anomaly/outlier detection by exploiting the characteristics of target data. As a local similarity measure defined in kernel sp ...

MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection This repository contains the code relative to the paper "MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection" by Fabio ...