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Time series clustering based on prediction accuracy of global forecasting models., , and . CoRR, (2023)Analyzing categorical time series with the R package ctsfeatures., and . CoRR, (2023)Fuzzy clustering of ordinal time series based on two novel distances with economic applications., , and . CoRR, (2023)Two novel distances for ordinal time series and their application to fuzzy clustering., , and . Fuzzy Sets Syst., (September 2023)Spatial weighted robust clustering of multivariate time series based on quantile dependence with an application to mobility during COVID-19 pandemic., , , and . WILF, volume 3074 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques., , , and . CoRR, (2021)Fuzzy clustering of circular time series based on a new dependence measure with applications to wind data., , and . CoRR, (2024)The bootstrap for testing the equality of two multivariate time series with an application to financial markets., and . Inf. Sci., (2022)Quantile-based fuzzy clustering of multivariate time series in the frequency domain., , and . Fuzzy Sets Syst., 443 (Part): 115-154 (2022)Ordinal time series analysis with the R package otsfeatures., and . CoRR, (2023)