Variable scaling and nearest neighbor methods
When employing nearest neighbor classifiers scaling of input variables is often useful. In this paper we propose a small modification in usual data preprocessing: scaling of variables should be done by use of pooled variances instead of overall ones. Thus prediction accuracy is distinctly improved in some situations. Copyright (C) 2008 John Wiley & Sons, Ltd.
classification k-nearest-neighbors standardizing predictors