2024-03-28T12:13:03Zhttp://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/59652021-06-23T10:11:04Zcom_10324_1151com_10324_931com_10324_894col_10324_1936
The TCLUST Approach to Robust Cluster Analysis
García Escudero, Luis Ángel
Gordaliza Ramos, Alfonso
Matrán Bea, Carlos
Mayo Iscar, Agustín
Universidad de Valladolid
Statistics
Producción Científica
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.
2014-09-15T20:01:01Z
2014-09-15T20:01:01Z
2008
info:eu-repo/semantics/preprint
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.
http://uvadoc.uva.es/handle/10324/5965
eng
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Attribution 4.0 International