Topological Data Analysis (TDA)  is a relatively young field in both algebraic topology and machine learning.   Tools from TDA, in particular persistent homology, have proven successful in many scientific disciplines.  Persistence diagrams, a typical way to study persistent homology, contain fruitful information about the underlying objects.  However, performing statistical methods directly on the space of persistence diagrams is…