TY  - CHAP 
AU  - Dotto, Francesco
AU  - Farcomeni, Alessio
AU  - García Escudero, Luis Ángel
AU  - Mayo Iscar, Agustín
PY  - 2016
SN  - 978-3-319-42972-4
UR  - http://uvadoc.uva.es/handle/10324/21842
AB  - A methodology for robust fuzzy clustering is proposed. This
methodology can be widely applied in very different statistical problems given
that it is based on probability likelihoods. Robustness is achieved by trimming
a fixed proportion of “most...
LA  - eng
PB  - Springer International Publishing
KW  - Statistics
TI  - Robust Fuzzy Clustering via Trimming and Constraints
DO  - 10.1007/978-3-319-42972-4_25
ER  -