摘要
在“三全育人”的背景下,体育、艺术类的教学质量得到了重视.鉴于目前网络上没有符合长跑俱乐部人才质量评估的模型,提出了一种基于特征加权聚类算法的长跑俱乐部人才质量评估模型.该模型使用模糊K原型聚类作为核心算法,为了提高评估准确率,引入特征加权算法进行优化.此外,研究中发现模型运行速度较慢,难以达到全局最优,因此采用爬山算法特高模型收敛速度.实验结果表明,模型在自创数据集上评估正确率93.16%,聚类纯度87.07%,平均输出时间50.03s.与其他同类模型相比,该模型在运行时间、评估正确率、聚类效果等多项性能上更优,具有先进性.
In the context of"comprehensive education",the teaching quality of sports and arts has been valued.There is currently no suitable model for evaluating the quality of talent in long-distance running clubs on the internet.In this study,a talent quality evaluation model for long-distance running clubs is proposed based on feature weighted clustering algorithm.Used fuzzy K-prototype clustering as the core algorithm is the model,and in order to improve evaluation accuracy,a feature weighting algorithm is introduced for optimization.In addition,it was found in the study that the model runs slowly and is difficult to achieve global optimization,so the mountain climbing algorithm is used to improve the convergence speed of the model.The experimental results show that the model has an evaluation accuracy of 93.16%,a clustering purity of 87.07%,and an average output time of 50.03 seconds on a self created dataset.Compared with other similar models,this model is progressiveness in terms of running time,evaluation accuracy,clustering effect,etc.
作者
乔黎
Qiao Li(Chuzhou City Vocation College)
出处
《哈尔滨师范大学自然科学学报》
CAS
2024年第1期68-73,共6页
Natural Science Journal of Harbin Normal University
基金
安徽省教育厅高等学校省级质量工程一般项目(2022jyxm1100)
滁州城市职业学院校级质量工程重点项目(2021zdjyxm08)。
关键词
三全育人
质量评估
长跑
FKP
特征加权
Three comprehensive education
Qualityy assessment
Long distance running
FKP
Feature weighting
