Title :
A Classification Method Using Weighted Nearest Neighbor Method based on A Supervised Decision Algorithm of Plural Class Presentation Points
Author :
Imamura, Hiroki ; Fujimura, Makoto ; Kuroda, Hideo
Author_Institution :
Dept. of Eng., Nagasaki Univ.
fDate :
Oct. 18 2006-Sept. 20 2006
Abstract :
To precisely classify input patterns, we propose a pattern classification method which uses weighted distance, based on the mean of norm, from a input pattern to plural class presentation points. By using the proposed method, we can reduce calculation cost of classification and can obtain precise results of classification
Keywords :
pattern classification; calculation cost reduction; pattern classification method; plural class presentation points; supervised decision algorithm; weighted distance; weighted nearest neighbor method; Cities and towns; Classification algorithms; Costs; Design engineering; Information science; Nearest neighbor searches; Neural networks; Pattern classification; Prototypes;
Conference_Titel :
Communications and Information Technologies, 2006. ISCIT '06. International Symposium on
Conference_Location :
Bangkok
Print_ISBN :
0-7803-9741-X
Electronic_ISBN :
0-7803-9741-X
DOI :
10.1109/ISCIT.2006.339885
