College Physics ›› 2017, Vol. 36 ›› Issue (2): 43-46.doi: 10.16854 /j.cnki.1000-0712.2017.02.012
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WANG Yun-jie
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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
WANG Yun-jie. Application of K-means mean clustering algorithm in the magnetoresistance effect[J].College Physics, 2017, 36(2): 43-46.
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URL: https://dxwl.bnu.edu.cn/EN/10.16854 /j.cnki.1000-0712.2017.02.012
https://dxwl.bnu.edu.cn/EN/Y2017/V36/I2/43
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