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Soft Competitive Learning without Fixed Network Dimensionality

  In this chapter some methods from the area of soft competitive learning are described. They have in common, in contrast to the models in the following chapter, that no topology of a fixed dimensionality is imposed on the network. In one case there is no topology at all (neural gas). In other cases the dimensionality of the network depends on the local dimensionality of the data and may vary within the input space.

Bernd Fritzke
Sat Apr 5 18:17:58 MET DST 1997