Skip Navigation

The Computer Journal 1989 32(3):220-227; doi:10.1093/comjnl/32.3.220
© 1989 by British Computer Society
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (30)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by El-Hamdouchi, A.
Right arrow Articles by Willett, P.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Comparison of Hierarchic Agglomerative Clustering Methods for Document Retrieval

A. El-Hamdouchi and P. Willett *

Department of Information Studies, University of Sheffield, Western Bank, Sheffield S10 2TN, UK

This paper considers the use of the single linkage, complete linkage, group average and Ward hierarchic agglomerative clustering methods for document retrieval. The methods are used to cluster seven document test collections for which queries and relevance judgements are available. Several retrieval strategies are described which allow searches to be carried out of the clustered document files resulting from the use of the four methods. These searches suggest that the group average method is the most suitable for document clustering purposes; however, searches of the unclustered document collections and of a simpler type of clustered file (based on pairs of nearest neighbours) usually result in better levels of retrieval effectiveness than searches of the clustered collections.

Received March 1987. revised June 1987.

* To whom all correspondence should be addressed.

§ Department of Information Studies, University of Sheffield, Western Bank, Sheffield S10 2TN


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.