Abstract: Disclosed are various example embodiments which may be configured to: collect a measurement time-series relating to a performance indicator of a communication network resource; compute a representative vector of said measurement time-series; provide a clustering model comprising a set of clusters, wherein the clustering model has been trained on a plurality of training time-series, wherein a cluster of the set of clusters comprises partial time-series that meet a similarity condition, wherein a cluster anomaly label is associated with said cluster; select a subset of the set of clusters, wherein the subset comprises at least one cluster for which the partial time-series within the cluster meet a distance condition with the representative vector; and associate an anomaly label with the measurement time-series, wherein the anomaly label is computed as a function of the cluster anomaly label.