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Proceedings of Fourth International Conference on Soft Computing for Problem Solving pp 455–462Cite as

Impact of Climate Change on Regionalization Using Fuzzy Clustering

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 336))

Abstract

Paucity of data restricts the hydrologist to analyze the meteorological characteristics of the basin reliably. Regionalization of precipitation in the basin helps in reliable flood and drought frequency analysis. Fuzzy c-means algorithm is an unsupervised classification algorithm and has been widely used in the literature for finding the homogeneous precipitation region. This paper analyzes the effect of climate change on the hydrological homogeneous region in the northeast India using fuzzy c-means algorithm. Two validity indexes named Extended Xie–Beni index and Kwon’s index have been used in this study.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, Indian Institute of Technology, Guwahati, India

    Vivek Gupta & Manish Kumar Goyal

Authors
  1. Vivek Gupta
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  2. Manish Kumar Goyal
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Corresponding author

Correspondence to Vivek Gupta .

Editor information

Editors and Affiliations

  1. Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  3. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  4. South Asian University, New Delhi, India

    Jagdish Chand Bansal

  5. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

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© 2015 Springer India

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Gupta, V., Goyal, M.K. (2015). Impact of Climate Change on Regionalization Using Fuzzy Clustering. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 336. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2220-0_37

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  • DOI: https://doi.org/10.1007/978-81-322-2220-0_37

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2219-4

  • Online ISBN: 978-81-322-2220-0

  • eBook Packages: EngineeringEngineering (R0)

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