A Method for Building Prototypes in the Nearest Prototype Approach Based on Similarity Relations for Problems of Function Approximation

摘要

In this article, the problem of function approximation is studied using the paradigm of the nearest prototypes. A method is proposed to construct prototypes using similarity relations; the relations are constructed using the measurement quality of similarity and the metaheuristic UMDA. For every class of similarity, a prototype is constructed. The experimental results show that the proposed method achieves a significant reduction of the quantity of instances to consider, while significant differences do not exist with regard to the performance reached with all the instances.