Abstract
The aim of this paper is to describe a study for the
obtaining, symbolically, of the separation surfaces
between clusters of a labelled database. A separation
surface is an equation with the form , where is a
function of . The calculation of function is begun by
the development of the parametric regression by means
of the use of the Genetic Programming. The symbolic
regression consists in approximating an unknown
function's equation, through knowledge of certain
points' coordinates and the value that a function
reaches with the same ones. This possibility was
propose in Koza92a and its advantage in front of the
classic statistical regressions is that it is not
necessary previously to know the form the function.
Once this surface is found, a classifier for the
database could be obtained. The technique has been
applied to different examples and the results have been
very satisfactory.
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