A qualitative methodology to reduce features in classification problems

Description

In this paper, a preliminary methodology which quantifies the dependence between features in a data set by using the Ameva discretization algo rithm and the advantages of a qualitative model is developed. Thus, different matrices of inter dependence are built providing a grade of depen dence between two features. This methodology is applied to a well-known data set, obtaining promis ing results for the carried out system.

Abstract

Ministerio de Ciencia e Innovacion TIN2009-14378-C02-01 (ARTEMISA)

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