torchsom: The Reference PyTorch Library for Self-Organizing Maps

Abstract:This paper introduces torchsom, an open-source Python library that provides a reference implementation of the Self-Organizing Map (SOM) in PyTorch. This package offers three main features: (i) dimensionality reduction, (ii) clustering, and (iii) friendly data visualization. It relies on a PyTorch backend, enabling (i) fast and efficient training of SOMs through GPU acceleration, and (ii) easy and scalable integrations with PyTorch ecosystem. Moreover, torchsom follows the scikit-learn API for ease of use and extensibility. The library is released under the Apache 2.0 license with 90% test coverage, and its source code and documentation are available at this https URL.

Machine Learning (stat.ML); Machine Learning (cs.LG)

I.2.6; I.5.1; I.5.3

arXiv:2510.11147 [stat.ML]

(or arXiv:2510.11147v2 [stat.ML] for this version)

https://doi.org/10.48550/arXiv.2510.11147 Focus to learn more arXiv-issued DOI via DataCite

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