ABSTRACT
Mahalanobis distances are a generalization of classic Euclidean distances that allow that changes in some directions are harder or more "expensive" than changes in other directions. The relative "cost" of the differences are summarized in a weight matrix W, and the distance is calculated as the square root of (x-y)'W(x-y), where χ and y are the feature vectors of the two objects being compared.
