Barycentric subspace analysis of network-valued data
Barycentric Subspace Analysis (BSA) is a method to reduce dimensions for network data, offering an alternative to PCA by focusing on reference points instead of vectors. It uses spectral graph spaces derived from the orthogonal group action to create a geometrically rich framework for analyzing unlabeled networks, providing more interpretable results than traditional methods.