Metric-Aware PCA as a Linear Instance of Geometric Deep Learning

This paper positions Metric-Aware Principal Component Analysis (MAPCA) within the geometric deep learning framework. The metric is interpreted as the geometric prior, and MAPCA solutions are equivariant under the symmetry group it induces.