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摘要

家庭教育在当今社会受到高度重视,家庭教育是未成年人不可或缺的一部分,在加强精神文明建设中也发挥着巨大作用。家庭教育也离不开社会的支持。传统模式无法解决社区家庭教育发展的问题。因此,本文提出了家庭教育分析的卢万算法。首先,利用机器学习分析家庭教育,根据家庭教育要求划分指标,减少家庭教育中的干扰因素。然后,机器学习分析社区家庭教育,形成家庭教育方案,综合分析家庭教育结果。MATLAB仿真表明,在一定的评价标准下,卢万$\prime\mathrm{s}$算法对社区家庭教育的效果和合理性优于传统模式。
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A Study of the Home Education Community Based on Louvain's Algorithm
Family education has been attached great importance in today's society, and family education is an indispensable part of minors, and also plays a great role in strengthening the construction of spiritual civilization. The community is also inseparable from the support of family education. The traditional model cannot solve the problem of family education development in the community. Therefore, this paper proposes a Louvain algorithm for family education analysis. Firstly, machine learning is used to analyze family education, and indicators are divided according to family education requirements to reduce interference factors in family education. Then, machine learning analyzes community family education to form a family education program and comprehensively analyzes the family education results. MATLAB simulation shows that under certain evaluation criteria, the effect and rationality of family education of Louvain $\prime\mathrm{s}$ algorithm on community are better than those of traditional models.
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