Application of Kmeans Algorithm with Pearson Coefficient in College Student Sports Quality and Sports Resources

Lian Zheng Xi; Wei Lu

doi:10.4028/www.scientific.net/AMR.905.725

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 905Application of Kmeans Algorithm with Pearson...

Application of Kmeans Algorithm with Pearson Coefficient in College Student Sports Quality and Sports Resources

Abstract:

Because the higher education has entered popularization stage, the contradiction between the unlimited demand for higher education resources of colleges and universities and the limited supply of resources becomes more and more prominent. Similarly, college sports resources is also limited. How to optimize the sports curriculum according to the students quality is a subject worthy of study. This paper proposes to study the students sport quality such as vital capacity, grip strength, enduranceuse using Pearson correlation and Kmeans clustering algorithm. It can provide guidance for sports education curriculum and teaching content. And we use 2013 freshmen sports test data of an university as example, the experiment proves that the present algorithm can effectively guide for curriculum set.

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Periodical:

Advanced Materials Research (Volume 905)

Pages:

725-730

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.905.725

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Online since:

April 2014

Authors:

Lian Zheng Xi*, Wei Lu

Keywords:

Kmeans Algotrithm, Pearson Coefficient, Sport Quality

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