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Fuzzy Clustering High-Dimensional Data Using Information Weighting

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11508))

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Abstract

The fuzzy clustering algorithm for high-dimensional data is proposed in this paper. An objective function which is insensitive to the “concentration of norms” phenomenon is also introduced. We recommend using a weighted parameter in the objective function. The proposed fuzzy clustering algorithm is compared with FCM in the experimental part. Dependence of the clustering algorithm’s results on the weighted parameter changes has also been investigated and tested.

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Acknowledgment

Oleksii K. Tyshchenko carried out his investigation within the project TAČR TL01000351 provided by the National Agency of the Czech Republic.

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Authors and Affiliations

  1. Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, 14 Nauky Ave, Kharkiv, 61166, Ukraine

    Yevgeniy V. Bodyanskiy

  2. Institute for Research and Applications of Fuzzy Modeling, CE IT4Innovations, University of Ostrava, 30. dubna 22, 701 03, Ostrava, Czech Republic

    Oleksii K. Tyshchenko

  3. Department of Informatics, Kharkiv National University of Radio Electronics, 14 Nauky Ave, Kharkiv, 61166, Ukraine

    Sergii V. Mashtalir

Authors
  1. Yevgeniy V. Bodyanskiy
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  2. Oleksii K. Tyshchenko
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  3. Sergii V. Mashtalir
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Corresponding author

Correspondence to Oleksii K. Tyshchenko .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  6. University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Bodyanskiy, Y.V., Tyshchenko, O.K., Mashtalir, S.V. (2019). Fuzzy Clustering High-Dimensional Data Using Information Weighting. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. Lecture Notes in Computer Science(), vol 11508. Springer, Cham. https://doi.org/10.1007/978-3-030-20912-4_36

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  • DOI: https://doi.org/10.1007/978-3-030-20912-4_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20911-7

  • Online ISBN: 978-3-030-20912-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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