RT info:eu-repo/semantics/preprint
T1 The TCLUST Approach to Robust Cluster Analysis
A1 García Escudero, Luis Ángel
A1 Gordaliza Ramos, Alfonso
A1 Matrán Bea, Carlos
A1 Mayo Iscar, Agustín
A2 Universidad de Valladolid
K1 Statistics
AB A new method for performing robust clustering is proposed. Themethod is designed with the aim of ¯tting clusters with di®erent scat-ters and weights. A proportion ® of contaminating data points is alsoallowed. Restrictions on the ratio between the maximum and the min-imum eigenvalues of the groups scatter matrices are introduced. Theserestrictions make the problem to be well-de¯ned guaranteeing the ex-istence and the consistency of the sample estimators to the populationparameters.
YR 2008
FD 2008
LK http://uvadoc.uva.es/handle/10324/5965
UL http://uvadoc.uva.es/handle/10324/5965
LA eng
NO 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.
NO Producción Científica
NO Estadística e IO
DS UVaDOC
RD 17-may-2024