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Robust principal component analysis based on soft mean filtering
Information Sciences | 更新时间：2025-05-26

    • Robust principal component analysis based on soft mean filtering

    • “In the field of data dimensionality reduction, researchers have proposed a robust principal component analysis algorithm RPCA-SMF based on Soft Mean Filter, which effectively handles noise and outliers, and improves the algorithm's robustness and generalization.”
    • Optics and Precision Engineering   Vol. 33, Issue 6, Pages: 961-978(2025)

    • DOI：10.37188/OPE.20253306.0961    

      CLC： TP391
    • CSTR：32169.14.OPE.20253306.0961    

    • Received：23 October 2024，

      Revised：24 December 2024，

      Published：25 March 2025

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  • WU Qinting,Wang Xinjing,PAN Jinyan,et al.Robust principal component analysis based on soft mean filtering[J].Optics and Precision Engineering,2025,33(06):961-978. DOI： 10.37188/OPE.20253306.0961. CSTR： 32169.14.OPE.20253306.0961.

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