Please use this identifier to cite or link to this item: http://dspace.univ-usto.dz/handle/123456789/392
Full metadata record
DC FieldValueLanguage
dc.contributor.authorgherbaoui radhwane-
dc.date.accessioned2019-11-24T13:51:42Z-
dc.date.available2019-11-24T13:51:42Z-
dc.date.issued2019-11-24-
dc.identifier.urihttp://dspace.univ-usto.dz/handle/123456789/392-
dc.description.abstractartificial data generator code sourceen_US
dc.publisherUniversity of sciences and technology in Oranen_US
dc.subjectcusteringen_US
dc.subjectartificial data generatoren_US
dc.subjectrate of overlap estimatoren_US
dc.subjectk-meansen_US
dc.subjectesperance maximizationen_US
dc.subjectFCMen_US
dc.subjectvalidity indicesen_US
dc.titleArtificial data generation for clustering methods evaluationen_US
dc.typeOtheren_US
Appears in Collections:Cours en ligne

Files in This Item:
File Description SizeFormat 
cgeg.zip214 MBZIPView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.