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On the Use of Modified Adaptive Nearest Neighbors for Classification
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 Title & Authors
On the Use of Modified Adaptive Nearest Neighbors for Classification
Maeng, Jin-Woo; Bang, Sung-Wan; Jhun, Myoung-Shic;
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Even though the k-Nearest Neighbors Classification(KNNC) is one of the popular non-parametric classification methods, it does not consider the local features and class information for each observation. In order to overcome such limitations, several methods have been developed such as Adaptive Nearest Neighbors Classification(ANNC) and Modified k-Nearest Neighbors Classification(MKNNC). In this paper, we propose the Modified Adaptive Nearest Neighbors Classification(MANNC) that employs the advantages of both the ANNC and MKNNC. Through a real data analysis and a simulation study, we show that the proposed MANNC outperforms other methods in terms of classification accuracy.
Adaptive nearest neighbors;classification analysis;k-nearest neighbors;modified adaptive nearest neighbors;
 Cited by
순차 적응 최근접 이웃을 활용한 결측값 대치법,박소현;방성완;전명식;

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