Category "knn"

Applying weights to KNN dimensions

When doing a KNN searches in ES/OS it seems to be recommended to normalize the data in the knn vectors to prevent single dimensions from over powering the the f

KNN Accuracy of 100%?

I have used the following code for KNN jd <- jobdata head (jd) jd$ipermanency rate= as.integer(as.factor(jd$ipermanency rate)) jd$`permanency rate