| 科学计量学常用工具的聚类算法分析 |
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| 引用本文： | 黄福,侯海燕,梁国强,王亚杰,胡志刚.科学计量学常用工具的聚类算法分析[J].科技管理研究,2018(18). |
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| 作者姓名： | 黄福 侯海燕 梁国强 王亚杰 胡志刚 |
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| 作者单位： | 大连理工大学科学学与科技管理研究所暨WISE实验室 |
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| 基金项目： | 国家社科基金项目“高科技前沿监测中的知识图谱方法与应用研究”（项目编号：14BTQ030） |
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| 摘 要： | 介绍聚类算法的过程以及聚类有效性指标的分类,分别评述科学计量学常用软件中的几种聚类算法,分析聚类算法的特性并采用基于类内紧密度和类间分离度对聚类结果的有效性进行探讨,总结各聚类算法的效果并对应软件分析的结果进行案例分析。
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| 关 键 词： | 科学计量学 聚类有效性 聚类算法 可视化工具 |
| 收稿时间： | 2017/10/26 0:00:00 |
| 修稿时间： | 2017/12/13 0:00:00 |
Analysis of Clustering Algorithm in Software of Scientometrics |
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| Abstract: | During the course of scientometrics study, cluster analysis is a common method for scientific research. In the face of complex clustering algorithms, the quality and the optimal number of the clustering method is very important for clustering evaluation. Therefore, based on the co-occurrence matrix data of scientific research, the common clustering algorithms and tools are analyzed. First, this paper introduces the classification of clustering algorithm and clustering validity index; then, several clustering algorithms of measurement software commonly used in scientometrics are reviewed; then, analysis the characteristics of clustering algorithm, and the validity of clustering results is discussed based on the compactness and separation of the clusters. Finally, the effect of clustering algorithm and the result of software analysis are summarized. |
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| Keywords: | Scientometrics Cluster validity Clustering algorithm Mapping analysis tools |
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