Figure 1From: Stepwise classification of cancer samples using clinical and molecular dataIllustration of a bad neighborhood concept in the clinical data space using the linear discriminant analysis. A bad neighborhood is a place in the data space where samples form a cluster on the wrong side of the decision border. It may be located near the decision border (ellipsis) or far from it (rectangle).Back to article page