An open-source Python']Python library for self-organizing-maps

被引：1

作者：

Jose Garcia-Tejedor, Alvaro ^{[1
]}

Nogales, Alberto ^{[1
]}

机构：

[1] Univ Francisco de Vitoria, CEIEC Res Inst, Ctra M-515 Pozuelo Majadahona Km 1,800, Pozuelo De Alarcon 28223, Spain

来源：

SOFTWARE IMPACTS | 2022年 / 12卷

关键词：

Machine learning; Neural networks; Self-organizing maps;

D O I：

10.1016/j.simpa.2022.100280

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Organizations have realized the importance of data analysis and its benefits. This in combination with Machine Learning algorithms has allowed us 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 particular use cases obtaining accurate results.

引用

页数：4

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