https://github.com/wilfriedmercier/somptimised

An optimised version of sklearn-som with extended functionalities.
https://github.com/wilfriedmercier/somptimised

machine-learning machine-learning-algorithms numpy python python3 self-organizing-map som

Last synced: 13 days ago
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An optimised version of sklearn-som with extended functionalities.

• Host: GitHub
• URL: https://github.com/wilfriedmercier/somptimised
• Owner: WilfriedMercier
• License: mit
• Created: 2022-03-17T18:07:52.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-12-22T19:28:46.000Z (over 3 years ago)
• Last Synced: 2025-09-25T05:20:43.991Z (9 months ago)
• Topics: machine-learning, machine-learning-algorithms, numpy, python, python3, self-organizing-map, som
• Language: Python
• Homepage: https://wilfriedmercier.github.io/SOMptimised/index.html
• Size: 4.99 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# SOMptimised

An optimised version of [sklearn-som](https://pypi.org/project/sklearn-som/) with extended features.

Additional features:

* Can save additional features into the SOM beyond those used to train it

* Can serialise (i.e. save SOM state into a binary file onto the disk)

* Can load back the SOM in its previous state from a binary file on the disk

This SOM implementation has been optimised in terms of speed with respect to [sklearn-som](https://pypi.org/project/sklearn-som/) just by using more efficient numpy functions and features and by reducing the number of loops when possible.

Performance boost does not scale linearly with SOM or dataset size but, as an indication, a 50x50 SOM run on 14 000 data points (1 epoch) takes on my machine:

* **7.3s of CPU and wall time to fit with this library**

* 2min of CPU and wall time to fit with [sklearn-som](https://pypi.org/project/sklearn-som/)

For more details, please visite the [documentation](https://wilfriedmercier.github.io/SOMptimised/index.html).

# License

MIT License

Copyright (c) 2023 Wilfried Mercier

Permission is hereby granted, free of charge, to any person obtaining a copy

of this software and associated documentation files (the "Software"), to deal

in the Software without restriction, including without limitation the rights

to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

copies of the Software, and to permit persons to whom the Software is

furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all

copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

SOFTWARE.