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International Conference on Neural Information Processing

ICONIP 2017: Neural Information Processing pp 24–32Cite as

Fuzzy Self-Organizing Incremental Neural Network for Fuzzy Clustering

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10634))

Abstract

In this paper, a neural network named fuzzy self-organizing incremental neural network (fuzzy SOINN) is presented for fuzzy clustering with following four characteristics: fuzzy, incremental learning, topological representation and resistance to noise. No predefined structures of clusters is required due to the self-adjusting nodes and edges which fit the learning data incrementally. A removal of nodes and edges promises the robustness of the network to the noisy data. Experiments on artificial and real-world data prove the validity of the clustering method.

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Acknowledgments

This work is supported in part by the National Science Foundation of China under Grant Nos. (61373130, 61375064, 61373001), and Jiangsu NSF grant (BK20141319).

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Authors and Affiliations

  1. National Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University, Nanjing, China

    Tianyue Zhang, Baile Xu & Furao Shen

Authors
  1. Tianyue Zhang
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  2. Baile Xu
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  3. Furao Shen
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Corresponding author

Correspondence to Furao Shen .

Editor information

Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, China

    Derong Liu

  2. Guangdong University of Technology, Guangzhou, China

    Shengli Xie

  3. South China University of Technology, Guangzhou, China

    Yuanqing Li

  4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Dongbin Zhao

  5. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

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© 2017 Springer International Publishing AG

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Cite this paper

Zhang, T., Xu, B., Shen, F. (2017). Fuzzy Self-Organizing Incremental Neural Network for Fuzzy Clustering. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10634. Springer, Cham. https://doi.org/10.1007/978-3-319-70087-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-70087-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70086-1

  • Online ISBN: 978-3-319-70087-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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