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.