if (FALSE) {
data(phoneme)
mlearn<-phoneme[["learn"]][1:100]
glearn<-phoneme[["classlearn"]][1:100]
# ESTIMATION knn
out1=classif.knn(glearn,mlearn,knn=3)
summary(out1)
# PREDICTION knn
mtest<-phoneme[["test"]][1:100]
gtest<-phoneme[["classtest"]][1:100]
pred1=predict(out1,mtest)
table(pred1,gtest)
# ESTIMATION kernel
h=2^(0:5)
# using metric distances computed in classif.knn
out2=classif.kernel(glearn,mlearn,h=h,metric=out1$mdist)
summary(out2)
# PREDICTION kernel
pred2=predict(out2,mtest)
table(pred2,gtest)
}
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