Template implementation of a SOM for banking Fraud Detection

Neural Computing and Deep Learning Course - Fall 2022

This repository implements the Kohonen method, also known as Self-Organizing Maps (SOM), to demonstrate its ability to map data to various spaces, and provides a visual representation of the process.

Кластеризация вузов средствами построения карты Кохонена

This project uses the MiniSom library to train a SOM (Self-Organising Map) network to classify wines in the famous wine dataset of the UCI Machine Learning repository.

Using the Minisom library, an implementation of the Self-Organizing Maps, to classify defected software.

This code aims to generate KPIs and graphs for clustering geographical locations based on online shopping orders using a novel framework to optimise delivery using SOM.