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Adaptive Nearest Neighbors for Classification
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 Title & Authors
Adaptive Nearest Neighbors for Classification
Jhun, Myoung-Shic; Choi, In-Kyung;
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The -Nearest Neighbors Classification(KNNC) is a popular non-parametric classification method which assigns a fixed number of neighbors to every observation without consideration of the local feature of the each observation. In this paper, we propose an Adaptive Nearest Neighbors Classification(ANNC) as an alternative to KNNC. The proposed ANNC method adapts the number of neighbors according to the local feature of the observation such as density of data. To verify characteristics of ANNC, we compare the number of misclassified observation with KNNC by Monte Carlo study and confirm the potential performance of ANNC method.
Adaptive nearest neighbors;classification analysis;-nearest neighbors;
 Cited by
순차 적응 최근접 이웃을 활용한 결측값 대치법,박소현;방성완;전명식;

응용통계연구, 2011. vol.24. 6, pp.1249-1257 crossref(new window)
수정된 적응 최근접 방법을 활용한 판별분류방법에 대한 연구,맹진우;방성완;전명식;

응용통계연구, 2010. vol.23. 6, pp.1093-1102 crossref(new window)
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