Guest Speaker
Topological Data Analysis: Theory and Practice
Afra Zomorodian
Computer Science Department
Dartmouth College
May 5 2008 11:30AM
480 Dreese Labs
All interested parties are invited to attend.
Refreshments will be served prior to the talk.
Abstract:
In computer science, our data is often a finite set of noisy points. We seek to extract information from this data through analysis. Topological analysis refers to an approach that utilizes techniques from algebraic topology for data analysis.
In this talk, I discuss the various stages of topological data analysis, from the point set, to combinatorial structures, to results. I will cover the theory of persistent homology, along with its extension to multidimensional filtrations. I will also give some examples of successful applications in different areas, such as biophysics and computer vision.
Bio:
Afra Zomorodian home page
Host: Tamal Dey
