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A New Distance-weighted k-nearest Neighbor Classifier

Gou, Jianping; Du, Lan; Zhang, Yuhong; Xiong, Taisong


In this paper, we develop a novel Distance-weighted k-nearest Neighbor rule (DWKNN), using the dual distance-weighted function. The proposed DWKNN is motivated by the sensitivity problem of the selection of the neighborhood size k that exists in k-nearest Neighbor rule (KNN), with the aim of improving classification performance. The experiment results on twelve real data sets demonstrate that our proposed classifier is robust to different choices of k to some degree, and yields good performance...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: Journal of Information and Computational Science


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