A Study of Library Grouping using Cluster Analysis Methods

군집분석 기법을 이용한 공공도서관 그룹화에 대한 연구

  • 곽철완 (강남대학교 산업데이터사이언스학부)
  • Received : 2020.08.19
  • Accepted : 2020.09.03
  • Published : 2020.09.30


The purpose of this study is to investigate the model of cluster analysis techniques for grouping public libraries and analyze their characteristics. Statistical data of public libraries of the National Library Statistics System were used, and three models of cluster analysis were applied. As a result of the study, cluster analysis was conducted based on the size of public libraries, and it was largely divided into two clusters. The size of the cluster was largely skewed to one side. For grouping based on size, the ward method of hierarchical cluster analysis and the k-means cluster analysis model were suitable. Three suggestions were presented as implications of the grouping method of public libraries. First, it is necessary to collect library service-related data in addition to statistical data. Second, an analysis model suitable for the data set to be analyzed must be applied. Third, it is necessary to study the possibility of using cluster analysis techniques in various fields other than library grouping.


  1. 국가도서관통계시스템. 2020a. 열린마당. 2020년 전국 도서관 운영평가 공공도서관 그룹핑 변경 안내. [online]. [cited 2020.8.10]. .
  2. 국가도서관통계시스템. 2020b. 공공도서관 통계보기. [online]. [cited 2020.8.10]. .
  3. Kim, Jaehee and Yoon Sil Ko. 2009. "A Comparison of Cluster Analyses and Clustering of Sensory Data on Hanwoo Bulls." Korean Journal of Applied Statistics, 22(4): 745-758.
  4. Jang, Chul-Ho. 2009. "A Study on Efficiency Analysis about the Public Libraries Using Clustering DEA/AHP Model." Journal of Korean Library and Information Science Society, 40(2): 491-514.
  5. Cho, Min Ho. 2019. R Data Analysis for Data Scientists. Seoul: Information Publishing Group.
  6. Cho, Yongjoon. 2009. "The Similarities Analysis of Location Fishing Information through 2 Step Clustering." Journal of the Korean Data & Information Science Society, 20(3): 551-562.
  7. Cha, Mikyeong and Soon Hee Pyo. 2015. "A Study on the Results of the National Evaluation on Public Library Management during 2010-2013." Journal of the Korean Biblia Society for Library and Information Science, 26(2): 241-268.
  8. Korea Research Institute for Vocational Education & Training and Myongji University. Industry and Academia Cooperation Foundation. [2017]. 07 Data Analysis based upon Machine Learning. [online]. [cited 2020.2.10]. .