DocumentCode
3463565
Title
The Error of Principal Component Analysis in Subject Classification
Author
Feng, Lihua ; Luo, Gaoyuan
Author_Institution
Dept. of Geogr., Zhejiang Normal Univ., Jinhua, China
fYear
2009
fDate
June 30 2009-July 2 2009
Firstpage
525
Lastpage
527
Abstract
In subject classification, principal component analysis is implemented as an objective and practical validation method, but the real data calculation shows that the result of principal component analysis is not always complied with the real situation. Sometimes, it can be totally messed up. Some problems exist regarding to this classification, while these problems are caused by the nature of principal component analysis itself.
Keywords
pattern classification; principal component analysis; data calculation; practical validation method; principal component analysis; subject classification; Analysis of variance; Data mining; Electronic mail; Error analysis; Geography; Geology; Insects; Measurement units; Principal component analysis; Sorting; Principal Component Analysis; class; classification; error;
fLanguage
English
Publisher
ieee
Conference_Titel
New Trends in Information and Service Science, 2009. NISS '09. International Conference on
Conference_Location
Beijing
Print_ISBN
978-0-7695-3687-3
Type
conf
DOI
10.1109/NISS.2009.224
Filename
5260879
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