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Objective: simply put: The purpose of the technique is to represent the model with a lower number of dimensions, while maintaining the relations of similarity of the nodes contained in it.

  • Create topologically ordered maps
  • representing sensory input signals.
  • Approximates the probability density function of the input space while preserving its topological structure. img48.gif

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