The Shape of Data, or Staring into Voids
Friday 18th May, 2018 16:00-17:00 Maths 311B
One approach to studying large data sets is to interpret them as spatial objects and view the properties of data sets as configurations of these objects. In my talk I will give a gentle introduction to a relatively new field of topological data analysis, with a particular focus on persistent homology methods and Mapper. I will also discuss various applications to diverse fields such as materials physics, mathematical biology, genomics, and machine learning.