A Python Library for Self Organizing Map (SOM)
As much as possible, the structure of SOM is similar to somtoolbox
in Matlab. It has the following functionalities:
sklearn
format and it speeds up the training procedure, but it depends on the data size and mainly the size of the SOM grid.I couldn't manage the memory problem and therefore, I recommend single core processing at the moment. But nevertheless, the implementation of the algorithm is carefully done for all those important matrix calculations, such as scipy
sparse matrix and numexpr
for calculation of Euclidean distance.sklearn
or random initialization.SOMPY has the following dependencies:
python setup.py install
Many thanks to @sebastiandev, the library is now standardized in a pythonic tradition. Below you can see some basic examples, showing how to use the library. But I recommend you to go through the codes. There are several functionalities already implemented, but not documented. I would be very happy to add your new examples here.
There is no published paper about this library. However if possible, please cite the library as follows:
@misc{moosavi2014sompy,
title={SOMPY: A Python Library for Self Organizing Map (SOM)},
author={Moosavi, V and Packmann, S and Vall{\'e}s, I},
note={GitHub.[Online]. Available: https://github. com/sevamoo/SOMPY},
year={2014}
}
For more information, you can contact me via sevamoo@gmail.com but please report an issue first.
Thanks a lot. Best Vahid Moosavi