Robust Principal Component Analysis: A Median of Means Approach
Robust Principal Component Analysis: A Median of Means Approach
Principal component analysis (PCA) is a fundamental tool for data visualization, denoising, and dimensionality reduction. It is widely popular in statistics, machine learning, computer vision, and related fields. However, PCA is well-known to fall prey to outliers and often fails to detect the true underlying low-dimensional structure within the dataset. …