Ruben Sanchez-Garcia

The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data

Persistent homology is arguably the most successful technique in Topological Data Analysis. It combines homology, a topological feature of a data set, with persistence, which tracks the evolution of homology over different scales. The persistent Laplacian is a recent theoretical development that com…