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
fDate :
June 30 2009-July 2 2009
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;
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
DOI :
10.1109/NISS.2009.224
