基于PAM聚类的学科队伍构建方法研究

Construction of a Discipline Team Based on PAM Clustering

为了解决传统方法构建学科队伍时面临的难以确定合理的学科方向、构建合理的学科队伍问题,提升学科队伍构建质量,文章提出基于科研文献聚类的学科队伍构建方法。对科研人员的科研成果进行分析,进而提出科研成果和科研人员的相似度计算方法,运用基于划分的PAM聚类算法,将科研成果相似度高的科研人员聚类,结合专家分析优化构建合理的学科队伍。研究表明,该方法是可行且有效的,通过对科研人员的聚类不仅能实现更加合理的学科队伍构建,还可以发现潜在的更加合理的学科交叉方向,为学科建设提供强有力的技术支撑。

As it is difficult to determine a proper research direction,build a well-targeted disciplinary team and improve the competence of the team through the traditional method,the paper proposes a creative way based on PAM clustering.After an analysis of the scientific results of researchers,the paper proposes to calculate the similarity of the results,based on which the similarity of researchers can be gained.Through the PAM clustering algorithm,researchers with high similarity in certain scientific research will be clustered.That is how a more reasonable discipline team will be constructed by expert analysis and optimization of clustering results.The experimental results show that it is feasible and effective to construct discipline teams through the above methods.By clustering researchers,we can not only build a more reasonable discipline team but also identify more reasonable discipline directions.It can provide strong technical support for discipline construction.