GEMA: An open-source Python library for self-organizing-maps

TL;DR

GEMA is an open-source Python library designed for Self-Organizing-Maps, facilitating neural network-based data analysis with demonstrated effectiveness in specific use cases.

Contribution

This paper introduces GEMA, a new open-source Python library for Self-Organizing-Maps, enhancing accessibility and application of neural network models in data analysis.

Findings

GEMA achieved accurate results in a specific use case.

The library is freely available under GNU GPL.

It simplifies the implementation of Self-Organizing-Maps.

Abstract

Organizations have realized the importance of data analysis and its benefits. This in combination with Machine Learning algorithms has allowed to solve problems more easily, making these processes less time-consuming. Neural networks are the Machine Learning technique that is recently obtaining very good best results. This paper describes an open-source Python library called GEMA developed to work with a type of neural network model called Self-Organizing-Maps. GEMA is freely available under GNU General Public License at GitHub (https://github.com/ufvceiec/GEMA). The library has been evaluated in different a particular use case obtaining accurate results.