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        "description": "# py-kohonen\n\nThis module contains some basic implementations of Kohonen-style vector\nquantizers: Self-Organizing Map (SOM), Neural Gas, and Growing Neural Gas.\nKohonen-style vector quantizers use some sort of explicitly specified topology\nto encourage good separation among prototype \"neurons\".\n\nVector quantizers are useful for learning discrete representations of a\ndistribution over continuous space, based solely on samples drawn from the\ndistribution. This process is also generally known as density estimation.\n\nThe source distribution includes an interactive test module that uses PyGTK and\nCairo to render a set of quantizers that move around in real time as samples are\ndrawn from a known distribution and fed to the quantizers. Run this test with :\n\n    python kohonen_test.py\n\nHave fun !",
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