5793 Topology as an Organizing Principle for Biomedical Data

Friday, February 17, 2012: 1:30 PM
Room 213 (VCC West Building)
Gunnar Carlsson , Stanford University, Stanford, CA

In recent years, adaptations of topological constructions and methods to the analysis of high dimensional and large data sets have been shown to be of a great deal of value.  They are particularly appropriate for data in the biomedical domain, where the presence of large amounts of noise, diverse data types, and a lack of underlying theory call for methods which have a great deal of robustness to changes in underlying metrics and data models.  In this talk we will discuss some of these methods, and present some interesting examples.