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Graph and matrix algorithms for visualizing high dimensional data
dc.contributor | Gavaldà Mestre, Ricard |
dc.contributor | Arias Vicente, Marta |
dc.contributor.author | Shankaranarayanan Venkataraman, Abhinav |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2016-07-05T09:51:03Z |
dc.date.available | 2016-07-05T09:51:03Z |
dc.date.issued | 2016-06-20 |
dc.identifier.uri | http://hdl.handle.net/2117/88495 |
dc.description.abstract | Motivated by the problem of understanding data from the medical domain, we consider algorithms for visually representing highly dimensional data so that "similar" entities appear close together. We will study, implement and compare several algorithms based on graph and on matrix representation |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Graph theory |
dc.subject.lcsh | Algorithms |
dc.title | Graph and matrix algorithms for visualizing high dimensional data |
dc.type | Bachelor thesis |
dc.subject.lemac | Grafs, Teoria de |
dc.subject.lemac | Algorismes |
dc.identifier.slug | 120430 |
dc.rights.access | Open Access |
dc.date.updated | 2016-06-30T04:00:17Z |
dc.audience.educationlevel | Grau |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | GRAU EN ENGINYERIA INFORMÀTICA (Pla 2010) |