Based on defining an m dimensional space where each of the k cases
is defined as a point.
In a simple application m=n, and the
x_{1}, x_{2}, x_{3}, .....x_{n}
are the dimensions. In a more complicated applications the parameters
are massaged into a different set of parameters.
Feature space computations are based on the distance notion of a
metric space.
Methods:
All these methods suffer from a high injection of arbitrariness owing
to the need to establish a relative scale of the m dimensions.
