TY  - JOUR 
AU  - Rivera García, Diego
AU  - García Escudero, Luis Ángel
AU  - Mayo Iscar, Agustín
AU  - Ortega, Joaquín
PY  - 2019
UR  - https://uvadoc.uva.es/handle/10324/74395
AB  - Many clustering algorithms when the data are curves or functions have been recently proposed. However, the presence of contamination in the sample of curves can influence the performance of most of them. In this work we propose a robust, model-based...
LA  - spa
PB  - Springer
TI  - Robust clustering for functional data based on trimming and constraints
DO  - https://doi.org/10.1007/s11634-018-0312-7
ER  -