Event Type:

Geometry-Topology Seminar

Date/Time:

Monday, April 30, 2018 - 12:00 to 12:45

Location:

WNGR 201

Guest Speaker:

Bryn Keller

Institution:

Intel

Abstract:

Persistent homology is one of several tools from algebraic topology that's been

applied to data analysis. It concentrates on describing the connectivity, and

the holes, in data. We review persistent homology, then move on to 2-parameter

persistent homology, a generalization of the technique that allows better

robustness to noise, or deeper understanding of structure. We'll also introduce

RIVET, a tool for visualizing the structure that 2-parameter persistence can

discover.