Robust fuzzy clustering with fuzzy data

Authors:
Bohdan S. Butkiewicz
Affiliations:
Warsaw University of Technology, Warsaw, Poland
Venue:
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Year:
2005

Citing 3
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Abstract

Proposed method of clustering is based on modified fuzzy c-means algorithm. In the paper features of input data are considered as linguistic variables. Any feature is described by set of fuzzy numbers. Thus, any input data representing a feature is a fuzzy number. The modified method allows finding the appropriate number of classes. Moreover, it uses improvements introducing in conventional fuzzy c-means algorithm increasing its robustness to the influence of outliers.