“…A previous study showed that clustering performance is highly dependent on the dataset and the clustering method ( Javed et al , 2020 ). Therefore, Spycone offers various clustering techniques, including agglomerative clustering (hierarchical clustering) (Johnson, 1967 ), K-Means clustering (Hartigan and Wong, 1979 ), K-Medoids clustering (Park and Jun, 2009 ), DBSCAN ( Ester et al , 1996 ), OPTICS ( Ankerst et al , 1999 ) and various distance metrics such as euclidean distance, Pearson distance, as well as tslearn ( Tavenard et al , 2020 ) for calculating the dynamic time warping distance measure.…”