Kernel Nearest Neighbor Algorithm

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Kernel Nearest Neighbor Algorithm
The `kernel approach' has attracted great attention with the development of support vector machine (SVM) and has been studied in a general way. It offers an alternative solution to increase the computational power of linear learning machines by mapping data into a high dimensional feature space.This`approach' is extended to the well-known nearest-neighbor algorithm in this paper. It can be realized by substitution of a kernel distance metric for the original one in Hilbert space, and the corresponding algorithm is called kernel nearest-neighbor algorithm. Three data sets, an arti
Kai Yu, Liang Ji, Xuegong Zhang
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 2002
Where NPL
Authors Kai Yu, Liang Ji, Xuegong Zhang
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