Dypac
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.
Désirée Lussier-Lévesque
Fitness Coach | PhD in Neuroscience and Developmental Psychology | US Army Veteran
Fitness Coach | PhD in Neuroscience and Developmental Psychology | US Army Veteran | Helping clients to build strength, mobility and better quality of life