Topology and data

Wednesday, October 29, 2008 - 3:00pm - 3:50pm
EE/CS 3-180
Gunnar Carlsson (Stanford University)
The nature and quantity of data arising out of scientific applications requires novel methods, both for exploratory analysis as well as analysis of significance and validation. One set of new methods relies on ideas and methods from topology. The study of data sets requires an extension of standard methods, which we refer to as persistent topology. We will survey this area, and show that algebraic methods can be applied both to the exploratory and the validation side of investigations, and show some examples.
MSC Code: