A new implementation of unsupervised outlier detection techniques

Leonardo Severi

A new implementation of unsupervised outlier detection techniques.

Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021

Abstract

This project is about the implementation of well-known unsupervised learning algorithms in a Java Library called the Inceptive Machine Learning Engine (Inceptive MLE). We will present the MLE ecosystem, the added integrations, and the results obtained.