DOS SOLUCIONES EMPLEANDO ESTRATEGIA MIXTA DE ESCALAMIENTO ULTIDIMENSIONAL Y REDES NEURONALES DE KOHONEN

Abstract

This paper makes a comparative study of two techniques about visualizing multidimensional data: Multidimensional Scaling [1] and Self-Organizing Maps [3]).The possibility of employing a combined technique is analyzed aiming to optimize a concrete problem. At last, the possibilities and disadvantages of both techniques are verified in a real case applying the combined technique to explain the solutions