Metadata-Version: 1.1
Name: kohonen
Version: 1.1.2
Summary: A library of vector quantizers
Home-page: http://github.com/lmjohns3/py-kohonen
Author: Leif Johnson
Author-email: leif@leifjohnson.net
License: MIT
Description: # 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 !
        
Keywords: kohonen self-organizing-map neural-gas growing-neural-gas vector-quantization machine-learning
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
