Thin Position for Knots and Topological Data Analysis

School of Mathematics Colloquium
Thursday, November 19, 2015 - 11:00am
1 hour (actually 50 minutes)
Skiles 006
Topological data analysis is the study of Machine Learning/Data Mining problems using techniques from geometry and topology. In this talk, I will discuss how the scale of modern data analysis has made the geometric/topological perspective particularly relevant for these subjects. I'll then introduce an approach to the clustering problem inspired by a tool from knot theory called thin position.