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.

Keywords:

Clustering analysis, factor analysis, industrial structure principal component analysis,

References

Competing interests

The authors have no competing interests.

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Copyright

The authors have no competing interests.