Title :
Robust location estimation with possibilistic clustering
Author :
Bin, Chen ; Bin, Li ; Zhisong, Pan
Author_Institution :
Dept. Comput., Yangzhou Univ., Yangzhou, China
Abstract :
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.
Keywords :
estimation theory; minimax techniques; pattern clustering; possibility theory; minimax location estimation; possibilistic clustering; robust location estimation; weighted 1-center location problem; Automatic control; Automation; Cleaning; Communication system control; Delay; Hospitals; Minimax techniques; Programmable logic arrays; Robust control; Robustness; location estimation; minimax; possibilistic clustering;
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
DOI :
10.1109/CCCM.2009.5268066