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Maria Emelianenko

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Adaptive Voronoi-based Column Selection Methods for Interpretable Dimensionality Reduction

    2024 · arXiv (Cornell University)

    In data analysis, there continues to be a need for interpretable dimensionality reduction methods whereby instrinic meaning associated with the data is retained in the reduced space. Standard approaches such as Principal Component Analysis (PCA) …