Wednesday, June 20, 2018
06/20/2018 - 2:00pm
Quantifying the intrinsic structure from a given massive dataset is a commonly encountered challenge in medical society. The problem becomes more challenging due to the advanced sensing techniques; for example, multiple sensors with heterogenous data types. Diffusion geometry is a flexible framework for this kind of challenge that has led to several convincing results. Some topics in diffusion geometry, including diffusion map, alternating diffusion and its theoretical background will be discussed. Its application to explore sleep geometry will be discussed.