A method of feature selection for continuous features base on attribute similarity
WANG Hong-wei
LI Guo-he
Abstract：Feature selection is a common method of dimension reduction in pattern recognition.For continuous features, feature selection mainly has two methods:discretization and relevance assessment of the features classifi-cation ability.a method of feature selection for continuous feature is realized by introducing the concept of similari-ty degrees of interval number.This method redefines the concept of feature similarity base on the similarity degrees of interval number as heuristic information on feature ranking, to achieve feature selection.The experiments on the UCI repository data sets have demonstrated that the approach of the feature ranking and feature selection has greatly improved the effectiveness and efficiency of classifications on continuous features.
Keywords：feature selectionattribute similaritycontinuous featuresinterval numbers
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 350-355 )