The weekly SILO Seminar Series is made possible through the generous support of the 3M Company and its Advanced Technology Group


with additional support from the Analytics Group of the Northwestern Mutual Life Insurance Company

Northwestern Mutual

Topological Data Analysis : Persistent Homology and Applications

Elizabeth Munch, Prof.

Date and Time: Apr 23, 2014 (12:30 PM)
Location: Orchard room (3280) at the Wisconsin Institute for Discovery Building


An extremely powerful tool in the field of topological data analysis (TDA) is persistent homology which seeks to quantify structure in a large data set. In particular, persistence can find homology classes for an underlying manifold even when obscured by noise. These homology classes can then give information about the underlying manifold, and thus, about the data of interest. In this talk, we will discuss the basics of persistence with no prior knowledge assumed. Time permitting, we will also discuss recent advancements for using statistical methods with TDA, as well as applications to signal processing and sensor networks.