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The Application Research on Determination Method of Poor University Students Based on the Interval Density Cluster

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Advances in Computer Science and Education

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 140))

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Abstract

Poor university students determination is related to important social issues of education equity. In this paper, a density clustering method based on the interval is brought forward, which can effectively solve the problem that fuzzy c-means method heavily depends on the initial cluster center randomly generated. Through simulation, the piecewise linear membership function of the average daily food consumption is determined, which solves the problem that the poor university students is hard to be defined.

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References

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Author information

Authors and Affiliations

  1. Department of Politics and Law, Zhoukou Normal University, Zhoukou, Henan, China

    Huang Zhenzhen

Authors
  1. Huang Zhenzhen
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Correspondence to Huang Zhenzhen .

Editor information

Editors and Affiliations

  1. Guangzhou Section of ISER Association, Guangzhou, China, People's Republic

    Anne Xie

  2. Guangzhou Section of ISER Association, Guangzhou, China, People's Republic

    Xiong Huang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Zhenzhen, H. (2012). The Application Research on Determination Method of Poor University Students Based on the Interval Density Cluster. In: Xie, A., Huang, X. (eds) Advances in Computer Science and Education. Advances in Intelligent and Soft Computing, vol 140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27945-4_45

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  • DOI: https://doi.org/10.1007/978-3-642-27945-4_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27944-7

  • Online ISBN: 978-3-642-27945-4

  • eBook Packages: EngineeringEngineering (R0)

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