论文标题
GEMA：一个开源python库，用于自组织图
GEMA: An open-source Python library for self-organizing-maps
论文作者
论文摘要
组织已经意识到数据分析及其收益的重要性。结合机器学习算法，允许更轻松地解决问题，从而使这些过程较少耗时。神经网络是最近获得非常好的结果的机器学习技术。本文介绍了一个名为Gema的开源Python库，开发了一种使用一种称为自组织图的神经网络模型。 Gema在Github（https://github.com/ufvceiec/gema）的GNU通用公共许可下免费获得。在不同的特定用例中评估了该库，从而获得准确的结果。
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.
