Application of K-means mean clustering algorithm in the magnetoresistance effect

  • WANG Yun-jie
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  • Department of Physics,Qinghai Normal University,Xining,Qinghai 810008,China

Received date: 2016-05-19

  Revised date: 2016-07-01

  Online published: 2017-02-20

Abstract

We introduce the action principle of magnetoresistance effect and the application of magnetroresistive elements,as well as the design and verification of the approaches of analyzing and processing the experimental data of magnetoresistance effect using curvature and K-means clustering algorithm. The results show that the present method has high accuracy and low human factors and greatly intuitive.

Cite this article

WANG Yun-jie . Application of K-means mean clustering algorithm in the magnetoresistance effect[J]. College Physics, 2017 , 36(2) : 43 -46 . DOI: 10.16854 /j.cnki.1000-0712.2017.02.012

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