DocumentCode
2243478
Title
Comparison of two different dimension reduction methods in classification by arithmetic, geometric and harmonic similarity measure
Author
Luukka, Pasi ; Meyer, Aurel
Author_Institution
Laboratory of Appl. Mathematics, Lappeenranta Univ. of Technol., Finland
Volume
3
fYear
2004
fDate
25-29 July 2004
Firstpage
1419
Abstract
We have investigated effects of different dimension reduction methods to fuzzy similarity based classifier. We are going to show that dimension reduction plays an important role especially with geometric and harmonic similarity based classification. We are also going to show that the arithmetic case does not depend that much on dimension reduction, but very similar results can be achieved with full dimension instead of optimal dimension.
Keywords
data mining; fuzzy set theory; pattern classification; arithmetic similarity measure; dimension reduction methods; fuzzy similarity based classifier; geometric similarity measure; harmonic similarity based classification; harmonic similarity measure; Arithmetic; Data mining; Electronic mail; Laboratories; Mathematics; Pattern recognition; Personal communication networks; Principal component analysis; Table lookup; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
ISSN
1098-7584
Print_ISBN
0-7803-8353-2
Type
conf
DOI
10.1109/FUZZY.2004.1375381
Filename
1375381
Link To Document