som-multimodal-datareduction
Copyright 2026 Cameron B. Renteria

This product includes software developed by third parties, redistributed here in
original or MODIFIED form under their respective licenses. The overall pipeline,
the HDF5 codebook schema, the de-widgetized command-line interface, the enamel
feature set, and the dataset are original to this project; the SOM core and its
visualization layer are not (see below).

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1. SOMPY  (vendored verbatim, except 3 imports - som_multimodal/_vendor/sompy/)
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   "SOMPY: A Python Library for Self Organizing Map (SOM)"
   Copyright (c) Vahid Moosavi (@sevamoo) and contributors.
   Licensed under the Apache License, Version 2.0.
   https://github.com/sevamoo/SOMPY
   Original license retained at som_multimodal/_vendor/sompy/LICENSE.

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2. tfprop_sompy  (MODIFIED - som_multimodal/engine/tfprop_vis.py, strings.py)
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   "tfprop_sompy: Self-Organizing Map Data-Mining for Thermo-Fluid Properties"
   Developed by Gota Kikugawa and Yuta Nishimura (Tohoku University, Japan),
   built on SOMPY. The files in som_multimodal/engine/ are MODIFIED versions of
   that work; modifications Copyright 2026 Cameron B. Renteria, Apache-2.0.
   Each modified file documents its changes in a header; see also
   som_multimodal/engine/ACKNOWLEDGMENTS.md.

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3. Notebook / template lineage
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   The original Jupyter notebooks descend from SOM-lab teaching templates by
   Tim Letz (University of Washington,
   https://github.com/timletz/materials_datascience_uw_somlab) and the MSESOM
   consolidation in the Huang group at the University of Washington.

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Dataset
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   data/general_main.csv accompanies, and should be cited as:
   C. Renteria, W. Yan, Y. L. Huang, D. D. Arola, "Contributions to enamel
   durability with aging: An application of data science tools," Journal of the
   Mechanical Behavior of Biomedical Materials, vol. 129, 105147, 2022.
   doi:10.1016/j.jmbbm.2022.105147

This NOTICE file is provided for attribution and does not modify the License.
