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