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Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I

Research Article

Research on Fuzzy Clustering Algorithms for Large Dimensional Data Sets Under Cloud Computing

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  • @INPROCEEDINGS{10.1007/978-3-030-67871-5_27,
        author={Shuang-cheng Jia and Feng-ping Yang},
        title={Research on Fuzzy Clustering Algorithms for Large Dimensional Data Sets Under Cloud Computing},
        proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2021},
        month={2},
        keywords={Computer technology Cluster analysis Fuzzy clustering algorithm High-dimensional large data sets},
        doi={10.1007/978-3-030-67871-5_27}
    }
    
  • Shuang-cheng Jia
    Feng-ping Yang
    Year: 2021
    Research on Fuzzy Clustering Algorithms for Large Dimensional Data Sets Under Cloud Computing
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-67871-5_27
Shuang-cheng Jia1,*, Feng-ping Yang1
  • 1: Alibaba Network Technology Co., Ltd.
*Contact email: xindine30@163.com

Abstract

With the rapid development of modern computer technology, the internet technology based on computer technology has also been remarkably developed, which has made great progress in modern information technology. The management and effective application of these large-scale data has become the main trend of the development of modern society. In order to improve the ability of fast processing and recognition of large data, data clustering analysis is needed. Aiming at the problems existing in traditional fuzzy clustering algorithm, this paper proposes a design of fuzzy clustering algorithm for high-dimensional and large data sets under cloud computing. Through data classification and data processing classification, the design of fuzzy clustering algorithm for high-dimensional large data sets is realized, and compared with the traditional algorithm through experiments. The simulation results show that the method is easy to calculate and fast in the fuzzy clustering of high-dimensional and large data sets. The clustering effect is good, and the clustering algorithm of high-dimensional and large data sets is well realized.

Keywords
Computer technology Cluster analysis Fuzzy clustering algorithm High-dimensional large data sets
Published
2021-02-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-67871-5_27
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