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| Format: | Recurso digital |
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Zenodo
2026
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| Accès en ligne: | https://doi.org/10.5281/zenodo.18553832 |
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- <p><strong>See the most up-to-date version of this library in the <a href="https://github.com/ArlexMR/HySOM" target="_blank" rel="noopener">GitHub repository</a></strong></p> <p>HySOM is a Python library that simplifies the training and visualization of Self-Organizing Maps (SOMs) for 2D time series. It is specifically designed for the study of concentration–discharge (C–Q) hysteresis loops. With HySOM, you can access the General T-Q SOM—a standard framework for classifying sediment transport hysteresis loops. The library also includes several visualization tools to streamline the analysis of sediment transport hysteresis loops. Additionally, HySOM allows you to train your own SOM for C–Q analysis.</p> <p> </p>