DocumentCode
495035
Title
A Mistake Application for Principal Component Analysis
Author
Han, Run-chun ; Xiao, Ji-Xian
Author_Institution
Sch. of Econ. & Manage., Hebei Polytech. Univ., Tangshan, China
Volume
3
fYear
2009
fDate
21-22 May 2009
Firstpage
383
Lastpage
385
Abstract
When solving multivariate sample data, principal component analysis (PCA) can simplify the source, reduce the dimension of redundancies, and make the new variable uncorrelated, so it is widely utilized in multivariate statistical analysis. These years, however, some people apply the PCA to determine the weight of evaluation index system, even include the method in the textbook. This paper will clarify the unscientific method of valuing the weight in two ways.
Keywords
principal component analysis; sampling methods; PCA; evaluation index system weight; mistake application; multivariate sample data; multivariate statistical analysis; principal component analysis; unscientific method; Conference management; Data processing; Mathematics; Physics computing; Principal component analysis; Psychology; Statistical analysis; Evaluation System; Principal Component Analysis; Weight;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location
Manchester
Print_ISBN
978-0-7695-3634-7
Type
conf
DOI
10.1109/ICIC.2009.302
Filename
5168885
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