@inproceedings{67f1d54754e94f298799ec2edd0b9010,
title = "Clustering of relational data containing noise and outliers",
abstract = "The concept of noise clustering algorithm is applied to several fuzzy relational data clustering algorithms to make them more robust against noise and outliers. The methods considered include techniques proposed by Roubens (1978), Hathaway et al. (1994) and FANNY by Kaufman and Rouseeuw (1990). A new fuzzy relational data clustering (FRC) algorithm is proposed through generalization of FANNY. The FRC algorithm is shown to have the same objective functional as the relational fuzzy c-means algorithm. However, through use of direct objective function minimization based on the Lagrangian multiplier technique, the necessary conditions for minimization are derived without imposition of the restriction that the relational data is derived from Euclidean measure of distance from object data. Robustness of the new algorithm is demonstrated through several examples.",
author = "Sumit Sen and Dav{\'e}, {Rajesh N.}",
note = "Publisher Copyright: {\textcopyright} 1998 IEEE.; 1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998 ; Conference date: 04-05-1998 Through 09-05-1998",
year = "1998",
doi = "10.1109/FUZZY.1998.686326",
language = "English (US)",
isbn = "078034863X",
series = "1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1411--1416",
booktitle = "1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence",
address = "United States",
}