DocumentCode
2183161
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.
fYear
2006
fDate
Oct. 18 2006-Sept. 20 2006
Firstpage
49
Lastpage
53
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISCIT.2006.339885
Filename
4141511
Link To Document