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PRL
2007

Improving nearest neighbor rule with a simple adaptive distance measure

10 years 2 months ago
Improving nearest neighbor rule with a simple adaptive distance measure
The k-nearest neighbor rule is one of the simplest and most attractive pattern classification algorithms. However, it faces serious challenges when patterns of different classes overlap in some regions in the feature space. In the past, many researchers developed various adaptive or discriminant metrics to improve its performance. In this paper, we demonstrate that an extremely simple adaptive distance measure significantly improves the performance of the k-nearest neighbor rule. Ó 2006 Elsevier B.V. All rights reserved.
Jigang Wang, Predrag Neskovic, Leon N. Cooper
Added 27 Dec 2010
Updated 27 Dec 2010
Type Journal
Year 2007
Where PRL
Authors Jigang Wang, Predrag Neskovic, Leon N. Cooper
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