The TCLUST Approach to Robust Cluster Analysis

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/10324/5965

Título

The TCLUST Approach to Robust Cluster Analysis

Autor

García Escudero, Luis Ángel

Gordaliza Ramos, Alfonso

Matrán Bea, Carlos

Mayo Iscar, Agustín

Editor

Universidad de Valladolid

Año del Documento

2008

Descripción

Producción Científica

Documento Fuente

García-Escudero, L.A.; Gordaliza, A.; Matrán, C. and Mayo-Iscar, A. (2008), "A General Trimming Approach to Robust Cluster Analysis". Annals of Statistics, Vol.36, pp. 1324-1345.

Résumé

A new method for performing robust clustering is proposed. The method is designed with the aim of ¯tting clusters with di®erent scat- ters and weights. A proportion ® of contaminating data points is also allowed. Restrictions on the ratio between the maximum and the min- imum eigenvalues of the groups scatter matrices are introduced. These restrictions make the problem to be well-de¯ned guaranteeing the ex- istence and the consistency of the sample estimators to the population parameters.

Materias (normalizadas)

Statistics

Departamento

Estadística e IO