VTechWorks staff will be away for the Thanksgiving holiday beginning at noon on Wednesday, November 27, through Friday, November 29. We will resume normal operations on Monday, December 2. Thank you for your patience.
 

Recent Developments in Document Clustering

dc.contributor.authorAndrews, Nicholas O.en
dc.contributor.authorFox, Edward A.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:58Zen
dc.date.available2013-06-19T14:36:58Zen
dc.date.issued2007-10-01en
dc.description.abstractThis report aims to give a brief overview of the current state of document clustering research and present recent developments in a well-organized manner. Clustering algorithms are considered with two hypothetical scenarios in mind: online query clustering with tight efficiency constraints, and offline clustering with an emphasis on accuracy. A comparative analysis of the algorithms is performed along with a table summarizing important properties, and open problems as well as directions for future research are discussed.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00001000/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00001000/01/docclust.pdfen
dc.identifier.trnumberTR-07-35en
dc.identifier.urihttp://hdl.handle.net/10919/19473en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofComputer Science Technical Reportsen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectAlgorithmsen
dc.subjectData structuresen
dc.titleRecent Developments in Document Clusteringen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
docclust.pdf
Size:
534.89 KB
Format:
Adobe Portable Document Format