Where and when: Thursday, June 3 at 2-3pm in 303S-561

Speaker: Neset Tan, PhD student, supervised by Mark Gahegan and Michael Witbrock

Abstract: Geometric and topological tools can be effective for understanding complex data. Topological data analysis is a young and growing area that provides strong tools from a combination of algebraic topology and statistics to capture useful patterns in data science problems. This talk will be a brief introduction, through some fundamental aspects, and applications of topological data analysis.

Graphic Source: https://sites.google.com/site/nips2012topology/home