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dc.contributor.advisorCunningham, Pádraig
dc.contributor.authorGreene, Derek
dc.date.accessioned2019-04-30T08:56:18Z
dc.date.available2019-04-30T08:56:18Z
dc.date.issued2007
dc.identifier.citationDerek Greene, 'A state-of-the-art toolkit for document clustering', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2007, pp 207
dc.identifier.otherTHESIS 8086
dc.description.abstractCluster analysis refers to a family of procedures which are fundamentally concerned with automatically arranging data into meaningful groups. These procedures are increasingly being employed in knowledge discovery tasks to assist in the exploration and interpretation of large datasets. Since users may often be unfamiliar with the exact contents of a dataset, clustering can provide a means of introducing some form of organisation to the data, which can also serve to highlight significant patterns and trends.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Computer Science & Statistics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb12781818
dc.subjectComputer Science, Ph.D.
dc.subjectPh.D. Trinity College Dublin
dc.titleA state-of-the-art toolkit for document clustering
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 207
dc.description.noteTARA (Trinity's Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie
dc.identifier.urihttp://hdl.handle.net/2262/86351


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