Fuzzy Clustering of Series Using Quantile Autocovariances. - Borja R. Lafuente-Rego; José Antonio Vilar (AALTD@PKDD/ECML, 2015)

Clustering of time series using quantile autocovariances. - Borja R. Lafuente-Rego; José Antonio Vilar (Adv. Data Anal. Classif., 2016)

Quantile autocovariances: A powerful tool for hard and soft partitional clustering of time series. - José Antonio Vilar; Borja R. Lafuente-Rego; Pierpaolo D'Urso (Fuzzy Sets Syst., 2018)

Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques. - Ángel López-Oriona; Pierpaolo D'Urso; José Antonio Vilar; Borja R. Lafuente-Rego (CoRR, 2021)

Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques. - Ángel López-Oriona; Pierpaolo D'Urso; José Antonio Vilar; Borja R. Lafuente-Rego (Int. J. Approx. Reason., 2022)

Spatial Weighted Robust Clustering of Multivariate Time Series Based on Quantile Dependence With an Application to Mobility During COVID-19 Pandemic. - Ángel López-Oriona; Pierpaolo D'Urso; José Antonio Vilar; Borja R. Lafuente-Rego (IEEE Trans. Fuzzy Syst., 2022)

Erratum to "Spatial Weighted Robust Clustering of Multivariate Time Series Based on Quantile Dependence With an Application to Mobility During COVID-19 Pandemic". - Ángel López-Oriona; Pierpaolo D'Urso; José Antonio Vilar; Borja R. Lafuente-Rego (IEEE Trans. Fuzzy Syst., 2025)