This paper develops a new time series clustering procedure allowing for heteroskedasticity, non-normality and model's non-linearity. At this aim, we follow fuzzy approach. Specifically, considering Dynamic Conditional Score (DCS) model, propose to cluster according their estimated conditional moments via the Autocorrelation-based C-means (A-FCM) algorithm. The DCS parametric modeling is appeali...