Abstract by Joseph Drapeau
Applied Statistics to Persistent Homology
We describe a novel way to identify key features of discrete data-sets that may not be quantitative. Because of this freedom, the technique described shows great promise in fields where data is not quantifiable, such as the social sciences. Some challenges we face in developing the technique were finding sufficient data to analyze and developing a proper framework to interpret the results.