{"?xml":{"@version":"1.0"},"edm:RDF":{"@xmlns:dc":"http://purl.org/dc/elements/1.1/","@xmlns:edm":"http://www.europeana.eu/schemas/edm/","@xmlns:wgs84_pos":"http://www.w3.org/2003/01/geo/wgs84_pos","@xmlns:foaf":"http://xmlns.com/foaf/0.1/","@xmlns:rdaGr2":"http://rdvocab.info/ElementsGr2","@xmlns:oai":"http://www.openarchives.org/OAI/2.0/","@xmlns:owl":"http://www.w3.org/2002/07/owl#","@xmlns:rdf":"http://www.w3.org/1999/02/22-rdf-syntax-ns#","@xmlns:ore":"http://www.openarchives.org/ore/terms/","@xmlns:skos":"http://www.w3.org/2004/02/skos/core#","@xmlns:dcterms":"http://purl.org/dc/terms/","edm:WebResource":[{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-BND2159S/24be6d7a-8711-427e-8396-7c0f73929b37/PDF","dcterms:extent":"632 KB"},{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-BND2159S/429178c8-37cc-4374-b6b1-9af03790214b/TEXT","dcterms:extent":"0 KB"}],"edm:TimeSpan":{"@rdf:about":"2002-2024","edm:begin":{"@xml:lang":"en","#text":"2002"},"edm:end":{"@xml:lang":"en","#text":"2024"}},"edm:ProvidedCHO":{"@rdf:about":"URN:NBN:SI:DOC-BND2159S","dcterms:isPartOf":[{"@rdf:resource":"https://www.dlib.si/details/URN:NBN:SI:spr-1R5DVDOA"},{"@xml:lang":"sl","#text":"Informatica Medica Slovenica"}],"dcterms:issued":"2023","dc:creator":"Kastrin, Andrej","dc:format":[{"@xml:lang":"sl","#text":"številka:1/2"},{"@xml:lang":"sl","#text":"letnik:28"},{"@xml:lang":"sl","#text":"str. 16-23"}],"dc:identifier":["ISSN:1318-2145","COBISSID_HOST:179058947","URN:URN:NBN:SI:doc-BND2159S"],"dc:language":"sl","dc:publisher":{"@xml:lang":"sl","#text":"Slovensko društvo za medicinsko informatiko"},"dc:subject":[{"@xml:lang":"en","#text":"high-dimensional data"},{"@xml:lang":"en","#text":"machine learning"},{"@xml:lang":"sl","#text":"mnogorazsežni podatki"},{"@xml:lang":"en","#text":"statistics"},{"@xml:lang":"sl","#text":"statistika"},{"@xml:lang":"sl","#text":"strojno učenje"}],"dcterms:temporal":{"@rdf:resource":"2002-2024"},"dc:title":{"@xml:lang":"sl","#text":"O nekaterih lastnostih mnogorazsežnih podatkovij| On some properties of high-dimensional data sets|"},"dc:description":{"@xml:lang":"sl","#text":"The extensive use of high-dimensional data to examine certain research phenomena has expanded in parallel with high-throughput technologies in various scientific fields. However, several statistical challenges arise when analysing high-dimensional datasets, such as low identifiability, numerical instability, and overfitting. Before delving into the complex analysis of high-dimensional data, a solid foundation of their inherent properties is crucial. This review aims to illustrate the geometric properties inherent in the statistical analysis of high-dimensional data by examining the behaviour of hypercubes and hyperspheres in a high-dimensional context. An overview of literature is also provided to guide the students in further study"},"edm:type":"TEXT","dc:type":[{"@xml:lang":"sl","#text":"znanstveno časopisje"},{"@xml:lang":"en","#text":"journals"},{"@rdf:resource":"http://www.wikidata.org/entity/Q361785"}]},"ore:Aggregation":{"@rdf:about":"http://www.dlib.si/?URN=URN:NBN:SI:DOC-BND2159S","edm:aggregatedCHO":{"@rdf:resource":"URN:NBN:SI:DOC-BND2159S"},"edm:isShownBy":{"@rdf:resource":"http://www.dlib.si/stream/URN:NBN:SI:DOC-BND2159S/24be6d7a-8711-427e-8396-7c0f73929b37/PDF"},"edm:rights":{"@rdf:resource":"http://rightsstatements.org/vocab/InC/1.0/"},"edm:provider":"Slovenian National E-content Aggregator","edm:intermediateProvider":{"@xml:lang":"en","#text":"National and University Library of Slovenia"},"edm:dataProvider":{"@xml:lang":"sl","#text":"Slovensko društvo za medicinsko informatiko"},"edm:object":{"@rdf:resource":"http://www.dlib.si/streamdb/URN:NBN:SI:DOC-BND2159S/maxi/edm"},"edm:isShownAt":{"@rdf:resource":"http://www.dlib.si/details/URN:NBN:SI:DOC-BND2159S"}}}}