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dc.contributor.authorPrice, Liz
dc.contributor.authorThelwall, Mike
dc.date.accessioned2008-05-19T16:25:13Z
dc.date.available2008-05-19T16:25:13Z
dc.date.issued2005
dc.identifier.citationJournal of the American Society for Information Science and Technology, 56 (8): 883-888
dc.identifier.issn15322882
dc.identifier.issn15322890
dc.identifier.doi10.1002/asi.20177
dc.identifier.urihttp://hdl.handle.net/2436/26895
dc.description.abstractThe value of low frequency words for subject-based academic Web site clustering is assessed. A new technique is introduced to compare the relative clustering power of different vocabularies. The technique is designed for word frequency tests in large document clustering exercises. Results for the Australian and New Zealand academic Web spaces indicate that low frequency words are useful for clustering academic Web sites along subject lines; removing low frequency words results in sites becoming, on average, less dissimilar to sites from other subjects.
dc.language.isoen
dc.publisherWiley
dc.relation.urlhttp://www3.interscience.wiley.com/journal/110435728/abstract
dc.subjectUniversities
dc.subjectCluster analysis
dc.subjectWord frequency
dc.subjectWebsites
dc.titleBrief Communication: The clustering power of low frequency words in academic Webs
dc.typeJournal article
dc.identifier.journalJournal of the American Society for Information Science and Technology
html.description.abstractThe value of low frequency words for subject-based academic Web site clustering is assessed. A new technique is introduced to compare the relative clustering power of different vocabularies. The technique is designed for word frequency tests in large document clustering exercises. Results for the Australian and New Zealand academic Web spaces indicate that low frequency words are useful for clustering academic Web sites along subject lines; removing low frequency words results in sites becoming, on average, less dissimilar to sites from other subjects.


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