TY - JOUR AU - Dotto, Francesco AU - Farcomeni, Alessio AU - García Escudero, Luis Ángel AU - Mayo Iscar, Agustín PY - 2018 SN - 0960-3174 UR - http://uvadoc.uva.es/handle/10324/32022 AB - An iteratively reweighted approach for robust clustering is presented in this work. The method is initialized with a very robust clustering partition based on an high trimming level. The initial partition is then refined to reduce the number of... LA - eng PB - Springer KW - Cluster analysis KW - Trimming KW - Robustness KW - Minimum covariance determinant estimator TI - A Reweighting Approach to Robust Clustering DO - 10.1007/s11222-017-9742-x ER -