Clustering of categorical time series based on two novel feature-based distances with an application to biological sequences Two novel distances between categorical time series are introduced. Both of them measure discrepancy between extracted features describing the underlying serial dependence patterns. One of them is based on well-known association measures. The other relies on the so-called […]