TY  - JOUR 
AU  - Fritz, Heinrich
AU  - García Escudero, Luis Ángel
AU  - Mayo Iscar, Agustín
PY  - 2013
SN  - 0020-0255
UR  - http://uvadoc.uva.es/handle/10324/21850
AB  - It is well-known that outliers and noisy data can be very harmful when applying
clustering methods. Several fuzzy clustering methods which are able
to handle the presence of noise have been proposed. In this work, we propose
a robust clustering...
LA  - eng
PB  - Elsevier
KW  - Estádistica
KW  - Clustering
KW  - Fuzzy clustering
KW  - Noise
KW  - Outlier
KW  - Constraint
KW  - Trimming
TI  - Robust Constrained Fuzzy Clustering
DO  - 10.1016/j.ins.2013.03.056
ER  -