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.⇒