摘要
关键词共现可以有效地反映学科领域的研究热点,为科学研究提供辅助支持。文章系统梳理基于共现频率的共词分析相关度算法、聚类算法、可视化方法等,评价现有聚类算法,并针对k-means聚类算法提出改进构想。
Keyword co-occurrence can effectively reflect the research focus in the disciplinary field, and provide auxiliary sup- port for scientific research. This article systematically summarizes the correlation algorithms, clustering algorithms and visualization methods of co-word analysis based on co-occurrence frequency, evaluates the existing clustering algorithms, and proposes some ide- as for improving the k-means clustering algorithm.
出处
《情报理论与实践》
CSSCI
北大核心
2012年第8期115-119,共5页
Information Studies:Theory & Application
基金
教育部人文社会科学基金项目"基于科技监测理论的学科知识服务研究"的成果
项目编号:09YJC870005
关键词
关键词
共现频率
聚类算法
分析方法
keyword
co-occurrence frequency
clustering algorithm
analysis method
