“…Then, after the similarity between all pairs of time series is computed, any standard clustering procedure that allows for the analysis of a proximity matrix can be used. With the current approach, the toolbox for clustering time series data continues to grow (see Euan, Ombao, and Ortega, 2018;Michael and Melnykov, 2016;Rahmanishamsi, Dolati, and Aghabozorgi, 2018), and I expect that this will continue to be in the case in the near future. Further, an open area of research will be the comparison of the time series methods with other methods for clustering longitudinal data, such as growth mixture modeling (see Ram and Grimm, 2009).…”