In this work, a new approach to cluster large sets of time series is presented. The proposed methodology takes into account the dependency among obtain fuzzy partition set observations. A two-step procedure accomplish First, cophenetic distances, based on linear cross-dependency measure, are obtained. Second, these distances used as an input non-Euclidean relational clustering algorithm. As res...