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Fuzzy C-Means and Fuzzy TLBO for Fuzzy Clustering

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Proceedings of the Second International Conference on Computer and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 379))

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Abstract

The choice of initial center plays a great role in achieving optimal clustering results in all partitional clustering approaches. Fuzzy C-means is a widely used approach but it also gets trapped in local optima values due to sensitiveness to initial cluster centers. To alleviate this issue, a new approach of using an evolutionary technique known as Teaching–Learning-Based Optimization (TLBO) is used hybridized with fuzzy approach. The proposed approach is able to deal with the sensitiveness of cluster centers. Results presented are very encouraging.

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Authors and Affiliations

  1. Department of IT, Griet, Hyderabad, India

    P. Gopala Krishna

  2. Department of CS&SE, AUCE(a), Andhra University, Visakhapatnam, India

    D. Lalitha Bhaskari

Authors
  1. P. Gopala Krishna
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  2. D. Lalitha Bhaskari
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Corresponding author

Correspondence to P. Gopala Krishna .

Editor information

Editors and Affiliations

  1. Dept. of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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Gopala Krishna, P., Lalitha Bhaskari, D. (2016). Fuzzy C-Means and Fuzzy TLBO for Fuzzy Clustering. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 379. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2517-1_46

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  • DOI: https://doi.org/10.1007/978-81-322-2517-1_46

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2516-4

  • Online ISBN: 978-81-322-2517-1

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