Variation of Q and R on the glass dataset.
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posted on 2024-10-08, 17:24 authored by Xiaotong Bai, Yuefeng Zheng, Yang Lu, Yongtao ShiThis figure shows the changes in Q and R on the low-dimensional dataset glass.
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solving complex problemsrandom disturbance factorspopulation variations richdimension reduction rateaverage classification accuracyhybrid algorithms formedcombining filter algorithmsexperimental results showdrr reached 41div >< p>< sub xmlnscandidate feature subsetfeature selectionaverage valuewrapper algorithmssingle algorithmscandidate featuresvary randomlyusing reliefftwo stagestmkmcrigwo ).three setsreaches 24ranked usingoptimal subsetgeneralization abilitydimensional datasetscomparison experimentsalso shows8 high76 %.20 datasets12 low
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