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Please use this identifier to cite or link to this item: http://uvadoc.uva.es/handle/10324/5965
Title: The TCLUST Approach to Robust Cluster Analysis
Authors: García Escudero, Luis Ángel
Gordaliza Ramos, Alfonso
Matrán Bea, Carlos
Mayo Iscar, Agustín
Editors: Universidad de Valladolid
Issue Date: 2008
Description: Producción Científica
Citation: 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.
Abstract: 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.
Keywords: Statistics
Departament : Estadística e IO
Language: eng
URI: http://uvadoc.uva.es/handle/10324/5965
Rights: info:eu-repo/semantics/openAccess
Appears in Collections:DEP24 - Otros Documentos (Monografías, Informes, Memorias, Documentos de Trabajo, etc)

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