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

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...

Full description

Saved in:
Bibliographic Details
Published inarXiv.org
Main Authors Garcia-Tejedor, Alvaro J, Nogales, Alberto
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 17.02.2022
Subjects
Algorithms
Computer Science - Artificial Intelligence
Computer Science - Learning
Computer Science - Neural and Evolutionary Computing
Data analysis
Libraries
Machine learning
Neural networks
Python
Online AccessGet full text
ISSN2331-8422
DOI10.48550/arxiv.2203.13190

Cover

More Information
Summary: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.
Bibliography:SourceType-Working Papers-1
ObjectType-Working Paper/Pre-Print-1
content type line 50
ISSN:2331-8422
DOI:10.48550/arxiv.2203.13190