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A principal manifold can only be learned correctly using a SOM if

  • the SOM's dimensionality is the same as that of the principal manifold
  • the noise does not 'smear' the manifold too much, thus making it indistinguishable from a manifold with higher dimensionality.
  • there are enough data points to infer the manifold behind the noise.