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Robust multi-view fuzzy clustering via softmin

Published: 11 October 2021 Publication History

Abstract

Multi-view clustering, which utilizes the ample information provided by multiple sources to obtain better performance, has attracted much attention. However, existing clustering algorithms either have no ability to offer confidence for each assignment or suffer from the disturbance of outliers. To address these problems, in this paper, we propose a novel multi-view fuzzy clustering method via transferring softmin to fuzzy models. To obtain fuzzy assignments, we utilize the softmin with temperature and further develop an efficient algorithm to solve the non-convex problem approximately. We also show another explanation for the algorithm from the aspect of the prior distribution of various views. Besides, we design a scalable robust loss function, which interpolates between ℓ2-norm and the squared ℓ2-norm, to enhance the robustness to outliers. Extensive experiments show the superiority of our model under different clustering metrics.

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Cited By

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  • (2024)High-order Topology for Deep Single-Cell Multiview Fuzzy ClusteringIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2024.339974032:8(4448-4459)Online publication date: 1-Aug-2024
  • (2023)Medoid based semi-supervised fuzzy clustering algorithms for multi-view relational dataFuzzy Sets and Systems10.1016/j.fss.2023.108630469:COnline publication date: 15-Oct-2023
  • (2022)Fuzzy clustering for multiview data by combining latent informationApplied Soft Computing10.1016/j.asoc.2022.109140126:COnline publication date: 1-Sep-2022

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    Information & Contributors

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    Published In

    cover image Neurocomputing
    Neurocomputing  Volume 458, Issue C
    Oct 2021
    728 pages

    Publisher

    Elsevier Science Publishers B. V.

    Netherlands

    Publication History

    Published: 11 October 2021

    Author Tags

    1. Multi-view
    2. Fuzzy clustering
    3. Scalable robust metric
    4. Softmin

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    View all
    • (2024)High-order Topology for Deep Single-Cell Multiview Fuzzy ClusteringIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2024.339974032:8(4448-4459)Online publication date: 1-Aug-2024
    • (2023)Medoid based semi-supervised fuzzy clustering algorithms for multi-view relational dataFuzzy Sets and Systems10.1016/j.fss.2023.108630469:COnline publication date: 15-Oct-2023
    • (2022)Fuzzy clustering for multiview data by combining latent informationApplied Soft Computing10.1016/j.asoc.2022.109140126:COnline publication date: 1-Sep-2022

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