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. © 2002 Elsevier Science B.V. All rights reserved.
Choosing k for two-class nearest neighbour classifiers with unbalanced classes / Hand, D. J.; Vinciotti, V.. - In: PATTERN RECOGNITION LETTERS. - ISSN 0167-8655. - 24:9-10(2003), pp. 1555-1562. [10.1016/S0167-8655(02)00394-X]
Choosing k for two-class nearest neighbour classifiers with unbalanced classes
Vinciotti V.
2003-01-01
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. © 2002 Elsevier Science B.V. All rights reserved.File in questo prodotto:
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