Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices

Jianqing Fan, Yingying Fan, Jinchi Lv +2

Laplacian matrices are commonly employed in many real applications, encoding the underlying latent structural information such as graphs and manifolds. The use of the normalization…