| dc.contributor.author | García Escudero, Luis Ángel | |
| dc.contributor.author | Gordaliza Ramos, Alfonso | |
| dc.contributor.author | Matrán Bea, Carlos | |
| dc.contributor.author | Mayo Iscar, Agustín | |
| dc.date.accessioned | 2016-12-20T11:40:54Z | |
| dc.date.available | 2016-12-20T11:40:54Z | |
| dc.date.issued | 2013 | |
| dc.identifier.citation | Statistical Models for Data Analysis 2013. Studies in Classification, Data Analysis, and Knowledge Organization 201, Edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi, | es |
| dc.identifier.uri | http://uvadoc.uva.es/handle/10324/21848 | |
| dc.description.abstract | Grouping around affine subspaces and other types of manifolds is
receiving a lot of attention in the literature due to its interest in several fields of
application. Allowing for different dimensions is needed in many applications. This
work extends the TCLUST methodology to deal with the problem of grouping data
around different dimensional linear subspaces in the presence of noise. Two ways
of considering error terms in the orthogonal of the linear subspaces are considered. | es |
| dc.format.mimetype | application/pdf | es |
| dc.language.iso | spa | es |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Estadística | es |
| dc.title | Grouping Around Different Dimensional Affine Subspaces | es |
| dc.type | info:eu-repo/semantics/bookPart | es |
| dc.rights | Attribution 4.0 International | |
Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Attribution 4.0 International