Mittagsseminar (in cooperation with J. Lengler, A. Steger, and D. Steurer)

Date and Time: Thursday, September 24, 2009, 12:15 pm

Duration: This information is not available in the database

Location: OAT S15/S16/S17

Speaker: Primoz Skraba (INRIA Saclay, France)

Persistent Homology and Clustering

This talk will center around persistent homology or simply persistence; an important tool for the analysis of large and high dimensional data sets, especially point clouds. Particularly, the talk will present recent work on applying persistence to the problem of clustering. The algorithm we end up with is practical and comes with theoretical guarantees. On the theoretical side, I will discuss the stability of the persistent clusters and on the practical side I will show how it aids in interpreting data which may be difficult to visualize.

Joint work with Frederic Chazal, Steve Oudot and Leonidas Guibas.

Primoz Skraba obtained a PhD in Electrical Engineering from Stanford University in 2009 as part of the Geometric Computing Group. His research interests lie in Computational Topology and Wireless Sensor Networks. He is currently a post-doctoral researcher with the Geometrica Group at INRIA-Saclay in France.

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