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Fuzzy objective functions for robust pattern recognition

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3 Author(s)
Tai-Ning Yang ; Dept. of Comput. Sci., Chinese Culture Univ., Taipei, Taiwan ; Chih-Jen Lee ; Shi-Jim Yen

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.

Published in:

Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on

Date of Conference:

20-24 Aug. 2009