MATLAB-Based Statistical Studies on Regional Technological Innovation Capability

Tian Qin Wang; Jun Yang; Zhu Wang; Chang Liu

doi:10.4028/www.scientific.net/AMR.271-273.521

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 271-273MATLAB-Based Statistical Studies on Regional...

MATLAB-Based Statistical Studies on Regional Technological Innovation Capability

Abstract:

The regional technological innovation capability is an important standard to weigh the development of regional economies, and it also plays a crucial role in the growth and competition of the regional economies. As there is really quite a difference in the capacities of regional technical innovation, this paper first makes a principal component analysis (PCA) on the indexes of capacities of regional technical innovation by adopting MARLAB. Then, it clusters them based on extracted principal component scores and the results were analyzed. Through the discussion on clustering results, it could help us to improve the knowledge of regional economic unbalance and capacity of regional technical innovation

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Periodical:

Advanced Materials Research (Volumes 271-273)

Pages:

521-524

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.271-273.521

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Online since:

July 2011

Authors:

Tian Qin Wang, Jun Yang, Zhu Wang, Chang Liu

Keywords:

Clustering, Principal Component Analysis (PCA), Regional Technological Innovation Capability

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References

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