Title :
Generalized nearest neighbor rule for pattern classification
Author :
Wang, Bing ; Zeng, Yong ; Yang, Yupu
Author_Institution :
Sch. of Inf. & Electr. Eng., Panzhihua Univ., Panzhihua
Abstract :
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.
Keywords :
pattern classification; generalized nearest neighbor classification rule; pattern classification; Automation; Computational complexity; Convergence; Extraterrestrial measurements; Intelligent control; Nearest neighbor searches; Pattern classification; Pattern recognition; Performance analysis; Prototypes; Nearest neighbor rule (NNR); generalized nearest neighbor rule (GNNR); pseudo nearest neighbor (PNN); weighted k-nearest neighbor rule;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4594258
