Abstract Pattern discovery in multidimensional data sets has been the subject of research for decades. There exists a wide spectrum clustering algorithms that can be used this purpose. However, their practical applications share common post-clustering phase, which concerns expert-based interpretation and analysis obtained results. We argue bottleneck process, especially cases where domain knowl...