Research Project:
Pattern Recognition in High Dimensional Data

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dc.contributor.departmentDepartment of Mathematics
dc.contributor.departmentDepartment of Mathematics
dc.contributor.schoolcollegeinstituteCollege of Sciences
dc.contributor.schoolcollegeinstituteCollege of Sciences
dc.date.accessioned2024-12-29T10:37:43Z
dc.date.available2024-12-29
dc.description.publisherscopeInternational
dc.identifierEC.00056
dc.identifier.urihttps://hdl.handle.net/20.500.14288/24113
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Projects Collection
dc.relation.relatedpublicationsEdge density of new graph types based on a random digraph family
dc.relation.relatedpublicationsSimulation and characterization of multi-class spatial patterns from stochastic point processes of randomness, clustering and regularity
dc.relation.relatedpublicationsTesting spatial symmetry using contingency tables based on nearest neighbor relations
dc.relation.relatedpublicationsSegregation indices for disease clustering
dc.relation.relatedpublicationsComparison of relative density of two random geometric digraph families in testing spatial clustering
dc.relation.relatedpublicationsMorphometric differences in planum temporale in schizophrenia and bipolar disorder revealed by statistical analysis of labeled cortical depth maps
dc.relation.relatedpublicationsCell-specific and post-hoc spatial clustering tests based on nearest neighbor contingency tables
dc.relation.relatedpublicationsNearest neighbor methods for testing reflexivity
dc.relation.relatedpublicationsAnalysis of cortical morphometric variability using labeled cortical distance maps
dc.titlePattern Recognition in High Dimensional Data
dc.title.alternativePRinHDD
dspace.entity.typeProject
local.contributor.kuauthorCeyhan, Elvan
local.project.contractnumber329370
local.project.endDate2015-07-14
local.project.startDate2013-07-15
local.project.templateEC.FP07.PEOPLE.MCIOF
project.funder.identifierEC - FP7
project.funder.nameEuropean Commission
project.investigatorCeyhan, Elvan
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