Model-based clustering of time-dependent observations with common structural changes

Riccardo Corradin, Luca Danese, Wasiur R. KhudaBukhsh +1

We propose a novel model-based clustering approach for samples of time series. We assume as a unique commonality that two observations belong to the same group if structural change…