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Weighted K-nearest Centroid Neighbor Classification

Gou, Jianping; Du, Lan; Xiong, Taisong


The k-Nearest Centroid Neighbor rule (KNCN), as an extension of the k-Nearest Neighbor rule (KNN), is one of the promising algorithms in pattern classification. In this article, we take into consideration the proximity and spatial distribution of the neighbors by means of nearest centroid neighborhood for a query pattern, and introduce two weighted voting schemes for KNCN. Experimental results show that the proposed classifiers are effective algorithms, and obtain much improvement over the...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: Journal of Computer Information Systems


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