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Date: 2015/05/21 16:00 - 17:00
Venue: Room 056, Graduate School of Math. Sci.
Gunnar Carlsson (Stanford University, Ayasdi INC)
The Shape of Data
There is a tremendous amount of attention being paid to the notion of "Big Data". In many situations, however, the problem is not so much the size of the data but rather its complexity. This observation shows that it is now important to find methods for representing complex data in a compressed and understandable fashion. Representing data by shapes turns out to be useful in many situations, and therefore topology, the mathematical sub discipline which studies shape, becomes quite relevant. There is now a collection of methods based on topology for analyzing complex data, and in this talk we will discuss these methods, with numerous examples.