基于数据分类的双重加权强大的主要组件分析

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Sisi Wang, Feiping Nie, Zheng Wang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |March 3, 2025
    PubMed
    概括

    本研究介绍了双重权重强大的主要组件分析 (DRPCA),这是一种用于减少维度的新方法,有效地处理异常值. 通过对正常,阳性和硬样本进行不同的区分和权重,DRPCA提高了准确性.

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