Neural Computing and Deep Learning Course - Fall 2022

Template implementation of a SOM for banking Fraud Detection

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.

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.

Кластеризация вузов средствами построения карты Кохонена

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.