Choosing k for two-class nearest neighbour classifiers with unbalanced classes
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.
classification unbalanced classes nearest neighbour methods choice of k