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# py-kohonen

This module contains some basic implementations of Kohonen-style vector quantizers: Self-Organizing Map (SOM), Neural Gas, and Growing Neural Gas. Kohonen-style vector quantizers use some sort of explicitly specified topology to encourage good separation among prototype “neurons”.

Vector quantizers are useful for learning discrete representations of a distribution over continuous space, based solely on samples drawn from the distribution. This process is also generally known as density estimation.

The source distribution includes an interactive test module that uses PyGTK and Cairo to render a set of quantizers that move around in real time as samples are drawn from a known distribution and fed to the quantizers. Run this test with :

python kohonen_test.py

Have fun !

Release History

Release History

1.1.2

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
kohonen-1.1.2-py3-none-any.whl (11.7 kB) Copy SHA256 Checksum SHA256 3.4 Wheel Dec 15, 2014
kohonen-1.1.2.tar.gz (10.0 kB) Copy SHA256 Checksum SHA256 Source Dec 15, 2014

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