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

机译:区间密度聚类在贫困大学生判定方法中的应用研究

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摘要

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.
机译:大学生决心不佳与教育公平的重要社会问题有关。本文提出了一种基于区间的密度聚类方法,可以有效解决模糊c均值法严重依赖于随机产生的初始聚类中心的问题。通过仿真,确定了日均食品消费量的分段线性隶属度函数,解决了贫困大学生难以界定的问题。

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