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

• Type: Journal
• Year: 2002
• Where: NPL
• Authors: Kai Yu, Liang Ji, Xuegong Zhang
• Keywords: Kernel Nearest-neighbor Algorithm, Nearest-neighbor Algorithm, NPL 2002, Well-known Nearest-neighbor Algorithm