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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Research Libraries.
dc.contributorZaki, Mohammed J., 1971-
dc.contributorSzymanśki, Bolesław
dc.contributorGoldberg, Mark
dc.contributorMagdon-Ismail, Malik
dc.contributorMielikäinen, Taneli
dc.contributor.authorChaoji, Vineet
dc.date.accessioned2021-11-03T09:28:44Z
dc.date.available2021-11-03T09:28:44Z
dc.date.created2009-08-11T14:43:33Z
dc.date.issued2009-08
dc.identifier.urihttps://hdl.handle.net/20.500.13015/2787
dc.descriptionAugust 2009
dc.descriptionSchool of Science
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectComputer science
dc.titleEfficient algorithms for mining arbitrary shaped clusters
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid19039
dc.digitool.pid19040
dc.digitool.pid19042
dc.digitool.pid19041
dc.digitool.pid19043
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreePhD
dc.relation.departmentDept. of Computer Science


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