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    Abstract
2013 (Vol. 6, Issue: 02)
Article Information:

Improved Principal Component Analysis and its Application in the Evaluation of the Industrial Structure

LI Fen-Hong
Corresponding Author:  LI Fen-Hong 

Key words:  Clustering analysis, factor analysis, industrial structure principal component analysis, , , ,
Vol. 6 , (02): 289-292
Submitted Accepted Published
September 22, 2012 November 23, 2012 June 10, 2013
Abstract:

In this study, improved principal component analysis method is put forward to avoid the shortage of comprehensive evaluation dealt with principal component analysis method. When the contribution rate of the first principal components is short of asks, we can choose to rotate factor loading matrix and select multiple main components and synthesize and weigh the variation coefficient and variance contribution as weight coefficient, to set up a comprehensive evaluation model. As an example of the main indicators of Shangluo city Industrial data, the comparative study uses factor analysis and improved model, systematic classification with cluster analysis. The result shows that comprehensive evaluation of the improved model in the practical problems is more reasonable and objective.
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  Cite this Reference:
LI Fen-Hong, 2013. Improved Principal Component Analysis and its Application in the Evaluation of the Industrial Structure.  Research Journal of Applied Sciences, Engineering and Technology, 6(02): 289-292.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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