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A Review on Swarm Intelligence Algorithms Applied for Data Clustering

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Proceedings of International Conference on Intelligent Computing, Information and Control Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1272))

Abstract

Nature has inspired researchers in many ways, and swarm intelligence (SI) algorithms are also results of nature’s inspiration. The coordination, food search techniques, and fighting for survival techniques from birds, animals, and also insects have given researchers many areas to think upon. These algorithms are results of ants, bats, fireflies, fishes, cuckoos, and many more. Swarm means being together, so these algorithms are a result of species which live together in a large number. Clustering means separating, today data is available in abundance, but segregating the data accurately is necessary before working on it. So, different SI algorithms which are used for data clustering are discussed. SI algorithms give better clustering of data than the traditional clustering algorithms. This paper gives the reader a timely analysis of different SI algorithms applied in data clustering.

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Author information

Authors and Affiliations

  1. Department of Electronics & Communication Engineering, Visvesvaraya Technological University, Belagavi, Karnataka, India

    N. Yashaswini Gowda

  2. Dayananda Sagar Academy of Technological & Management, Visvesvaraya Technological University, Belagavi, Karnataka, India

    B. R. Lakshmikantha

Authors
  1. N. Yashaswini Gowda
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  2. B. R. Lakshmikantha
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Corresponding author

Correspondence to N. Yashaswini Gowda .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, KGiSL Institute of Technology, Coimbatore, India

    A. Pasumpon Pandian

  2. Department of Business Administration, The Gerald Schwartz School of Business, St. Francis Xavier University, Antigonish, NS, Canada

    Ram Palanisamy

  3. University of Applied Sciences, Aigaleo, Greece

    Klimis Ntalianis

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Yashaswini Gowda, N., Lakshmikantha, B.R. (2021). A Review on Swarm Intelligence Algorithms Applied for Data Clustering. In: Pandian, A.P., Palanisamy, R., Ntalianis, K. (eds) Proceedings of International Conference on Intelligent Computing, Information and Control Systems. Advances in Intelligent Systems and Computing, vol 1272. Springer, Singapore. https://doi.org/10.1007/978-981-15-8443-5_36

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