Welcome to som-pbc’s documentation!¶
Authors: Alex Müller
Copyright: (c) 2017 - 2021; Alex Müller
This package contains a simple self-organizing map implementation in Python with periodic boundary conditions.
Self-organizing maps are also called Kohonen maps and were invented by Teuvo Kohonen. They are an unsupervised machine learning technique to efficiently create spatially organized internal representations of various types of data. For example, SOMs are well-suited for the visualization of high-dimensional data.
This is a simple implementation of SOMs in Python. This SOM has periodic
boundary conditions and therefore can be imagined as a “donut”. The
The project’s GitHub page can be found here: http://github.com/alexarnimueller/som