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dc.identifier.urihttp://hdl.handle.net/11401/72229
dc.identifier.urihttp://hdl.handle.net/1951/45288
dc.description.sponsorshipThis work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.en_US
dc.formatMonograph
dc.format.mediumElectronic Resourceen_US
dc.language.isoen_US
dc.publisherThe Graduate School, Stony Brook University: Stony Brook, NY.
dc.typeThesis
dcterms.available2009-11-18T19:30:07Z
dcterms.available2011-01-12T14:56:18Z
dcterms.available2015-04-24T14:51:09Z
dcterms.creatorMaurer, Mauricio Rafael
dcterms.dateAccepted2009-11-18T19:30:07Z
dcterms.dateAccepted2011-01-12T14:56:18Z
dcterms.dateAccepted2015-04-24T14:51:09Z
dcterms.dateSubmitted2009-11-18T19:30:07Z
dcterms.dateSubmitted2011-01-12T14:56:18Z
dcterms.dateSubmitted2015-04-24T14:51:09Z
dcterms.formatApplication/PDFen_US
dcterms.formatMonograph
dcterms.identifierhttp://hdl.handle.net/11401/72229
dcterms.identifierhttp://hdl.handle.net/1951/45288
dcterms.issued2008-05-01
dcterms.languageen_US
dcterms.provenanceSubmitted by Karen D'Angelo (kdangelo@notes.cc.sunysb.edu) on 2009-11-18T19:30:07Z No. of bitstreams: 1 000000303.sbu.pdf: 1280613 bytes, checksum: bcf9a2b5d9396d1c7181f33ff571e329 (MD5)en_US
dcterms.provenanceMade available in DSpace on 2009-11-18T19:30:07Z (GMT). No. of bitstreams: 1 000000303.sbu.pdf: 1280613 bytes, checksum: bcf9a2b5d9396d1c7181f33ff571e329 (MD5) Previous issue date: 2008-05-01en_US
dcterms.provenanceMade available in DSpace on 2011-01-12T14:56:18Z (GMT). No. of bitstreams: 3 000000303.sbu.pdf.txt: 51654 bytes, checksum: 9fdfb1273f3efb591bed2fd2c339da76 (MD5) license.txt: 1763 bytes, checksum: e36d944c5b926cc20b5a4cce22e36cfe (MD5) 000000303.sbu.pdf: 1280613 bytes, checksum: bcf9a2b5d9396d1c7181f33ff571e329 (MD5) Previous issue date: 2008-05-01en
dcterms.provenanceMade available in DSpace on 2015-04-24T14:51:09Z (GMT). No. of bitstreams: 4 000000303.sbu.pdf.jpg: 1894 bytes, checksum: a6009c46e6ec8251b348085684cba80d (MD5) 000000303.sbu.pdf.txt: 51654 bytes, checksum: 9fdfb1273f3efb591bed2fd2c339da76 (MD5) license.txt: 1763 bytes, checksum: e36d944c5b926cc20b5a4cce22e36cfe (MD5) 000000303.sbu.pdf: 1280613 bytes, checksum: bcf9a2b5d9396d1c7181f33ff571e329 (MD5) Previous issue date: 2008-05-01en
dcterms.publisherThe Graduate School, Stony Brook University: Stony Brook, NY.
dcterms.subjectvolumetric data
dcterms.subjectclustering
dcterms.titleA High-Dimensional Feature Clustering Approach to Support Search and Classification in Volumetric Data
dcterms.typeThesis


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