GEMA: An open-source Python library for self-organizing-maps
This provides a tool for researchers and practitioners working with Self-Organizing-Maps, though it appears incremental as it implements an existing method.
The authors developed GEMA, an open-source Python library for Self-Organizing-Maps neural networks, and evaluated it in a particular use case where it obtained accurate results.
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.