1 paper
Bernard Akwei, Bobita Atkins, Rachel Bailey +9
Eigenmaps are important in analysis, geometry, and machine learning, especially in nonlinear dimension reduction. Approximation of the eigenmaps of a Laplace operator depends cruci…