Dypac
Last updated on
May 25, 2021
Dypac uses a simple two level clustering, one on sliding time windows, and one on indicator functions of parcels aggregated over many windows. For the sliding windows, k means runs directly on the time series generating a family of parcels, which are represented with one-hot encoders. The second-level aggregation clustering procedure gives the stable maps.
Postdoctoral research fellow
I am currently a postdoctoral research fellow with the SIMEXP laboratory at the Centre de recherche de l'Institut universitaire de gériatrie de Montréal (CRIUGM), Université de Montréal.