RT info:eu-repo/semantics/preprint
T1 A Fuzzy Approach to Robust Clusterwise Regression
A1 Dotto, Francesco
A1 Farcomeni, Alessio
A1 García Escudero, Luis Ángel
A1 Mayo Iscar, Agustín
K1 Estadística
AB new robust fuzzy linear clustering method is proposed. We estimate coe cientsof a linear regression model in each unknown cluster. Our method aims to achieverobustness by trimming a  xed proportion of observations. Assignments to clustersare fuzzy: observations contribute to estimates in more than one single cluster. Wedescribe general criteria for tuning the method. The proposed method seems to berobust with respect to di erent types of contamination.
YR 2016
FD 2016
LK http://uvadoc.uva.es/handle/10324/18092
UL http://uvadoc.uva.es/handle/10324/18092
LA spa
DS UVaDOC
RD 15-nov-2024