dc.contributor.advisor | Baas, Nils A. | nb_NO |
dc.contributor.author | Brekke, Birger | nb_NO |
dc.date.accessioned | 2014-12-19T13:58:14Z | |
dc.date.available | 2014-12-19T13:58:14Z | |
dc.date.created | 2010-09-04 | nb_NO |
dc.date.issued | 2010 | nb_NO |
dc.identifier | 348952 | nb_NO |
dc.identifier | ntnudaim:5373 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/258562 | |
dc.description.abstract | In 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.language | eng | nb_NO |
dc.publisher | Institutt for matematiske fag | nb_NO |
dc.subject | ntnudaim | no_NO |
dc.subject | SIF3 fysikk og matematikk | no_NO |
dc.subject | Industriell matematikk | no_NO |
dc.title | Topology and Data | nb_NO |
dc.type | Master thesis | nb_NO |
dc.source.pagenumber | 101 | nb_NO |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for matematiske fag | nb_NO |