Applying Clustering Methods in Drawing Maps of Science: Case Study of the Map For Urban Management Science

Autor:	Mohammad Abuei Ardakan, Hassan Abedi Jafari, Fattah Aghazadeh
Jazyk:	perština
Rok vydání:	2010
Předmět:	information clustering scientometry science maps urban management sciene Bibliography. Library science. Information resources
Zdroj:	Iranian Journal of Information Processing & Management, Vol 25, Iss 3, Pp 347-371 (2010)
Druh dokumentu:	article
ISSN:	2251-8223 2251-8231
Popis:	The present paper offers a basic introduction to data clustering and demonstrates the application of clustering methods in drawing maps of science. All approaches towards classification and clustering of information are briefly discussed. Their application to the process of visualization of conceptual information and drawing of science maps are illustrated by reviewing similar researches in this field. By implementing aggregated hierarchical clustering algorithm, which is an algorithm based on complete-link method, the map for urban management science as an emerging, interdisciplinary scientific field is analyzed and reviewed.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/db35682b4c68446a83dba43667ab0066 Zobrazit plný text záznamu View record in DOAJ