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Clustering-based identification of TS-models : comparison on a groundwater model case study

Hilde Vernieuwe (UGent) , Bernard De Baets (UGent) and Niko Verhoest (UGent)
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Abstract
In this paper, we apply different clustering algorithms for the identification of Takagi-Sugeno models. All of the fuzzy c-means, Gustafson-Kessel, simplified Gustafson-Kessel, Gath and Geva, simplified Gath and Geva, and modified Gath and Geva clustering algorithms try to minimize the same objective function. First, an algorithm for determining the optimal number of clusters is presented. The Takagi-Sugeno models with the optimal number of clusters are then incorporated into a groundwater model, and compared with measurements of the EMSL experiment and the results of a numerical groundwater model.
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EQUATION

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Chicago
Vernieuwe, Hilde, Bernard De Baets, and Niko Verhoest. 2004. “Clustering-based Identification of TS-models : Comparison on a Groundwater Model Case Study.” In IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1685–1690. New York, NY, USA: IEEE.
APA
Vernieuwe, H., De Baets, B., & Verhoest, N. (2004). Clustering-based identification of TS-models : comparison on a groundwater model case study. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1685–1690). Presented at the 2004 Annual IEEE international conference on Fuzzy Systems, New York, NY, USA: IEEE.
Vancouver
1.
Vernieuwe H, De Baets B, Verhoest N. Clustering-based identification of TS-models : comparison on a groundwater model case study. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). New York, NY, USA: IEEE; 2004. p. 1685–90.
MLA
Vernieuwe, Hilde, Bernard De Baets, and Niko Verhoest. “Clustering-based Identification of TS-models : Comparison on a Groundwater Model Case Study.” IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). New York, NY, USA: IEEE, 2004. 1685–1690. Print.
@inproceedings{404520,
  abstract     = {In this paper, we apply different clustering algorithms for the identification of Takagi-Sugeno models. All of the fuzzy c-means, Gustafson-Kessel, simplified Gustafson-Kessel, Gath and Geva, simplified Gath and Geva, and modified Gath and Geva clustering algorithms try to minimize the same objective function. First, an algorithm for determining the optimal number of clusters is presented. The Takagi-Sugeno models with the optimal number of clusters are then incorporated into a groundwater model, and compared with measurements of the EMSL experiment and the results of a numerical groundwater model.},
  author       = {Vernieuwe, Hilde and De Baets, Bernard and Verhoest, Niko},
  booktitle    = {IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)},
  isbn         = {9780780383531},
  keyword      = {EQUATION},
  language     = {eng},
  location     = {Budapest, Hungary},
  pages        = {1685--1690},
  publisher    = {IEEE},
  title        = {Clustering-based identification of TS-models : comparison on a groundwater model case study},
  url          = {http://dx.doi.org/10.1109/FUZZY.2004.1375434},
  year         = {2004},
}

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