Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

We present the SuSi package for Python. It includes a fully functional SOM for unsupervised, supervised and semi-supervised tasks. The class structure is set up as follows:

• SOMClustering: Unsupervised SOM for clustering
  • SOMEstimator: Base class for supervised and semi-supervised SOMs
    • SOMRegressor: Regression SOM
    • SOMClassifier: Classification SOM

License

3-Clause BSD license

Author

Felix M. Riese

Citation

see Citation and in the bibtex file

Documentation

Documentation

Installation

Installation guidelines

Paper

F. M. Riese, S. Keller and S. Hinz in Remote Sensing, 2020

pip install susi

More information can be found in the installation guidelines.

A collection of code examples can be found in the documentation. Code examples as Jupyter Notebooks can be found here:

• examples/SOMClustering
• examples/SOMRegressor
• examples/SOMRegressor_semisupervised
• examples/SOMClassifier
• examples/SOMClassifier_semisupervised

The bibtex file including both references is available here.

Paper:

F. M. Riese, S. Keller and S. Hinz, "Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data", Remote Sensing, vol. 12, no. 1, 2020.

@article{riese2020supervised,
    author = {Riese, Felix~M. and Keller, Sina and Hinz, Stefan},
    title = {{Supervised and Semi-Supervised Self-Organizing Maps for
              Regression and Classification Focusing on Hyperspectral Data}},
    journal = {Remote Sensing},
    year = {2020},
    volume = {12},
    number = {1},
    article-number = {7},
    URL = {https://www.mdpi.com/2072-4292/12/1/7},
    ISSN = {2072-4292},
    DOI = {10.3390/rs12010007}
}

Code:

Felix M. Riese, "SuSi: SUpervised Self-organIzing maps in Python", 10.5281/zenodo.2609130, 2019.

@misc{riese2019susicode,
    author = {Riese, Felix~M.},
    title = {{SuSi: SUpervised Self-organIzing maps in Python}},
    year = {2019},
    DOI = {10.5281/zenodo.2609130},
    publisher = {Zenodo},
    howpublished = {\href{https://doi.org/10.5281/zenodo.2609130}{doi.org/10.5281/zenodo.2609130}}
}