Time series clustering based on prediction accuracy of global forecasting models

Ángel López Oriona, Pablo Montero Manso, José Antonio Vilar Fernández

In this paper, a novel method to perform model-based clustering of time series is proposed. The procedure relies on two iterative steps: (i) K global forecasting models are fitted…