Kohonen Feature Maps and Growing Cell Structures - a Performance Comparison

Fritzke, Bernd

Neural Information Processing Systems 

A performance comparison of two self-organizing networks, the Kohonen Feature Map and the recently proposed Growing Cell Structures is made. For this purpose several performance criteria for self-organizing networks are proposed and motivated. The models are tested with three example problems of increasing difficulty. The Kohonen Feature Map demonstrates slightly superior results only for the simplest problem.

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