College Physics ›› 2017, Vol. 36 ›› Issue (2): 43-46.doi: 10.16854 /j.cnki.1000-0712.2017.02.012

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

WANG Yun-jie   

  1. Department of Physics,Qinghai Normal University,Xining,Qinghai 810008,China
  • Received:2016-05-19 Revised:2016-07-01 Online:2017-02-20 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.

Key words: magnetoresistance effect, magnetic induction, curvature, K-means mean clustering algorithm