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International Workshop Soft Computing Applications

SOFA 2014: Soft Computing Applications pp 413–422Cite as

Data Clustering Using a Modified Fuzzy Min-Max Neural Network

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 356))

Abstract

In this paper, a modified fuzzy min-max (FMM) clustering neural network is developed. Specifically, a centroid computation procedure in embedded into the FMM clustering network to establish the cluster centroid of each hyperbox in the FMM structure. Based on the hyperbox centroids, the FMM clustering performance in undertaking data clustering problems is measured using the cophenetic correlation coefficient (CCC). A series of experimental studies using benchmark datasets is conducted. The CCC scores obtained are compared with those from other clustering algorithms reported in the literature. The empirical findings indicate the effectiveness of FMM with the centroid formation procedure for tackling data clustering tasks.

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Acknowledgments

This project is supported by UMRG Research Subprogram (Project Number RP003D-13ICT).

Author information

Authors and Affiliations

  1. Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

    Manjeevan Seera & Chu Kiong Loo

  2. Centre for Intelligent Systems Research, Deakin University, Geelong, Australia

    Chee Peng Lim

  3. Faculty of Science and Technology, Data Science Institute, Bournemouth University, Poole, UK

    Lakhmi C. Jain

Authors
  1. Manjeevan Seera
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  2. Chee Peng Lim
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  3. Chu Kiong Loo
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  4. Lakhmi C. Jain
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Corresponding author

Correspondence to Manjeevan Seera .

Editor information

Editors and Affiliations

  1. Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. Faculty of Science and Technology, Data Science Institute, Bournemouth University, Poole, United Kingdom

    Lakhmi C. Jain

  3. University of Belgrade, Belgrade, Serbia

    Branko Kovačević

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© 2016 Springer International Publishing Switzerland

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Seera, M., Lim, C.P., Loo, C.K., Jain, L.C. (2016). Data Clustering Using a Modified Fuzzy Min-Max Neural Network. In: Balas, V., C. Jain, L., Kovačević, B. (eds) Soft Computing Applications. SOFA 2014. Advances in Intelligent Systems and Computing, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-319-18296-4_34

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  • DOI: https://doi.org/10.1007/978-3-319-18296-4_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18295-7

  • Online ISBN: 978-3-319-18296-4

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