### Thin Position for Knots and Topological Data Analysis

- Series
- School of Mathematics Colloquium
- Time
- Thursday, November 19, 2015 - 11:00 for 1 hour (actually 50 minutes)
- Location
- Skiles 006
- Speaker
- Jesse Johnson – Google

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.