Choosing k for two-class nearest neighbour classifiers with unbalanced classes

Authors:
David J. Hand;Veronica Vinciotti
Affiliations:
Department of Mathematics, Imperial College, 180 Queen's Gate, London SW7 2BZ, UK;Department of Mathematics, Imperial College, 180 Queen's Gate, London SW7 2BZ, UK
Venue:
Pattern Recognition Letters
Year:
2003

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Abstract

Supervised classification problems in which the class sizes are very different are common. In such cases, nearest neighbour classifiers exhibit a non-monotonic relationship between the number of nearest neighbours and misclassification rate of each of the two classes separately.