Generalized nearest neighbor rule for pattern classification
Bing Wang, Yong Zeng, Yupu Yang · 2008
In this paper, we propose a generalized nearest neighbor classification rule (GNNR). It is similar to but different from the previous nearest neighbor rule (NNR), this new rule utilizes more information of the neighbors of the unclassified sample point except its nearest neighbor. Theoretical analysis and experimental results confirm the validity of this new rule.