Robust location estimation with possibilistic clustering
Chen Bin, Bin Li, Pan Zhisong · 2009
In this paper we consider the weighted (1-center) location problems weighted by the Possibilistic clustering method. Such weighting method leads to better robustness to outliers compared with minimax location estimation. Its effectiveness was further verified by the experiments on the artificial dataset.