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benchmark | ||
.DS_Store |
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# SimpSOM (Simple Self-Organizing Maps) | ||
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## Version 2.0.0 | ||
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SimpSOM is a lightweight implementation of Kohonen Self-Organizing Maps | ||
(SOM) for Python 3, useful for unsupervised learning, | ||
clustering and dimensionality reduction. | ||
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To install this package, clone this repository and install it with | ||
`python setup.py install`. Alternatively you can download it from PyPI, | ||
to retrieve it just type `pip install simpsom`, but make sure the | ||
version you need is available on the database. | ||
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It allows you to build and train SOM on your dataset, save/load the trained | ||
network weights, and display or print graphs of the network with | ||
selected features. The function `run_colors_example()` will run a toy | ||
model, where a number of colors will be mapped from the 3D RGB space to | ||
the 2D network map and clustered according to their similarity in the | ||
origin space. | ||
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## What\'s New | ||
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- Class and function names have been updated to adhere to PEP8. | ||
- Batch training has been added and is now the default algorithm. | ||
- A light parallelization is now possible with RAPIDS. | ||
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## Version compatibility | ||
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This version introduces a number of changes, while attempting to maintain | ||
the original philosophy of this project: a SOM library easy to understand and customize. | ||
Functions and classes names have been changed to improve readability. | ||
If you are migrating from an older version (<=1.3.4), please make sure to check the API first! | ||
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"""Version information.""" | ||
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__version__ = "2.0.0" | ||
__version__ = "2.0.1" |
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""" | ||
SimpSOM (Simple Self-Organizing Maps) | ||
F. Comitani @2017-2021 | ||
A lightweight python library for Kohonen Self-Organizing Maps (SOM). | ||
""" | ||
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if __name__ == "__main__": | ||
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pass |