Grouping Around Different Dimensional Affine Subspaces

García Escudero, Luis Ángel; Gordaliza Ramos, Alfonso; Matrán Bea, Carlos; Mayo Iscar, Agustín

Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/21848

Título

Grouping Around Different Dimensional Affine Subspaces

Autor

García Escudero, Luis Ángel

Gordaliza Ramos, Alfonso

Matrán Bea, Carlos

Mayo Iscar, Agustín

Año del Documento

2013

Documento Fuente

Statistical Models for Data Analysis 2013. Studies in Classification, Data Analysis, and Knowledge Organization 201, Edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi,

Resumen

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.

Materias (normalizadas)

Estadística