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- W2392372205 abstract "In order to overcome the disadvantages of traditional K-NN classification algorithm,this paper proposes a K-nearest neighbor classification algorithm based on kernel.The idea of the algorithm is firstly to map the data from their original space to a high dimensional space(or kernel space) where the data are expected to be more separable,then to perform K-NN classification in the high dimensional space.The performance of new algorithm is demonstrated to be superior to that of K-NN classification algorithm by experiments on artificial and real data." @default.
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- W2392372205 date "2006-01-01" @default.
- W2392372205 modified "2023-09-24" @default.
- W2392372205 title "Kernel-based K-Nearest Neighbor Classification" @default.
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