Initial checkin on github.

.gitignore

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+*~
+#*#
+*.so
+*.py[oc]
+*.egg-info
+dist
+build

README

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+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 !