In an example system, a meter device records streaming session information. Cluster creation circuitry trains a model by grouping information from multiple streaming sessions into clusters. All streaming sessions within a given cluster have matching media and streaming sources. Model executor circuitry assigns incoming streaming session information to a cluster or to noise. Cluster creation circuitry edits the model by creating new clusters out of information from multiple streaming sessions with similar attributes that were originally labeled as noise.