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dc.contributor.advisorBaas, Nils A.nb_NO
dc.contributor.authorBrekke, Birgernb_NO
dc.date.accessioned2014-12-19T13:58:14Z
dc.date.available2014-12-19T13:58:14Z
dc.date.created2010-09-04nb_NO
dc.date.issued2010nb_NO
dc.identifier348952nb_NO
dc.identifierntnudaim:5373nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/258562
dc.description.abstractIn the last years, there has been done research in using topology as a new tool for studying data sets, typically high dimensional data. These studies have brought new methods for qualitative analysis, simplification, and visualization of high dimensional data sets. One good example, where these methods are useful, is in the study of microarray data (DNA data). To be able to use these methods, one needs to acquire knowledge of different topics in topology. In this paper we introduce simplicial homology, persistent homology, Mapper, and some simplicial complex constructions.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for matematiske fagnb_NO
dc.subjectntnudaimno_NO
dc.subjectSIF3 fysikk og matematikkno_NO
dc.subjectIndustriell matematikkno_NO
dc.titleTopology and Datanb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber101nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for matematiske fagnb_NO


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