Title :
Fuzzy objective functions for robust pattern recognition
Author :
Yang, Tai-Ning ; Lee, Chih-Jen ; Yen, Shi-Jim
Author_Institution :
Dept. of Comput. Sci., Chinese Culture Univ., Taipei, Taiwan
Abstract :
In this paper, we consider the issue of fuzzy objective functions when outliers exist. The outlier set is defined as the complement of the data set. Following this concept, a specially designed fuzzy membership weighted objective function is proposed and the corresponding optimal membership is derived. Based on the proposed robust objective functions, algorithms for clustering are implemented. Artificially generated data are used for comparison.
Keywords :
fuzzy set theory; pattern clustering; clustering algorithm; fuzzy objective function; membership weighted objective function; pattern recognition; Clustering algorithms; Computer science; Equations; Fuzzy sets; Lagrangian functions; Pattern recognition; Prototypes; Robustness; Sections; Virtual colonoscopy;
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2009.5277269
