dc.contributor.advisor | Cunningham, Pádraig | |
dc.contributor.author | Greene, Derek | |
dc.date.accessioned | 2019-04-30T08:56:18Z | |
dc.date.available | 2019-04-30T08:56:18Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Derek 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.other | THESIS 8086 | |
dc.identifier.uri | http://hdl.handle.net/2262/86351 | |
dc.description.abstract | Cluster 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.format | 1 volume | |
dc.language.iso | en | |
dc.publisher | Trinity College (Dublin, Ireland). School of Computer Science & Statistics | |
dc.relation.isversionof | http://stella.catalogue.tcd.ie/iii/encore/record/C__Rb12781818 | |
dc.subject | Computer Science, Ph.D. | |
dc.subject | Ph.D. Trinity College Dublin | |
dc.title | A state-of-the-art toolkit for document clustering | |
dc.type | thesis | |
dc.type.supercollection | thesis_dissertations | |
dc.type.supercollection | refereed_publications | |
dc.type.qualificationlevel | Doctoral | |
dc.type.qualificationname | Doctor of Philosophy (Ph.D.) | |
dc.rights.ecaccessrights | openAccess | |
dc.format.extentpagination | pp 207 | |
dc.description.note | TARA (Trinity's Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie | |