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Classification of Fmri Data by Using Clustering

dc.contributor.author Mogultay, Hazal
dc.contributor.author Alkan, Sarper
dc.contributor.author Yarman-Vural, Fatos T.
dc.date.accessioned 2020-04-19T23:53:43Z
dc.date.accessioned 2025-09-18T12:05:59Z
dc.date.available 2020-04-19T23:53:43Z
dc.date.available 2025-09-18T12:05:59Z
dc.date.issued 2015
dc.description Alkan, Sarper/0000-0002-3781-4951 en_US
dc.description.abstract Recognition of the the cognitive states by using functional Magnetic Rezonans Imaging (fMRI) data is a challenging problem that has been a focus of scientific research for a long time. In this study the effectiveness of clustering and the ensemble learning techniques on fMRI dataset is investigated and different paramaters are compared. Moreover, the performance of these techniques are tested on both raw voxel intensity values and meshes formed by multiple voxels. Clusters are compared to the functional brain regions, however higher performances are obtained when the number of clusters is higher than the number of functional brain regions. en_US
dc.identifier.doi 10.1109/SIU.2015.7130360
dc.identifier.isbn 9781467373869
dc.identifier.issn 2165-0608
dc.identifier.scopus 2-s2.0-84939129265
dc.identifier.uri https://doi.org/10.1109/SIU.2015.7130360
dc.identifier.uri https://hdl.handle.net/20.500.12416/10764
dc.language.iso tr en_US
dc.publisher Ieee en_US
dc.relation.ispartof 23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEY en_US
dc.relation.ispartofseries Signal Processing and Communications Applications Conference
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Fmri en_US
dc.subject Clustering en_US
dc.subject Multi Voxel Pattern Analysis (Mvpa) en_US
dc.title Classification of Fmri Data by Using Clustering en_US
dc.title Classification of fMRI Data by Using Clustering tr_TR
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.id Alkan, Sarper/0000-0002-3781-4951
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gdc.author.wosid Yarman, Fatos/Aap-5605-2021
gdc.author.wosid Mogultay, Hazal/Aaz-5721-2020
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gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Mogultay, Hazal; Yarman-Vural, Fatos T.] ODTU, Bilgisayar Muhendisligi, Ankara, Turkey; [Alkan, Sarper] ODTU, Bilissel Bilimler Anabilim Dali, Mekatron Muhendisligi, Ankara, Turkey; [Alkan, Sarper] Cankaya Univ, Ankara, Turkey en_US
gdc.description.endpage 2383 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.startpage 2381 en_US
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
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gdc.oaire.sciencefields 03 medical and health sciences
gdc.oaire.sciencefields 0302 clinical medicine
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gdc.opencitations.count 3
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