José Antonio
Vilar Fernández
Catedrático de Universidad
Pierpaolo
D'Urso
Publicaciones en las que colabora con Pierpaolo D'Urso (9)
2023
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Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences
Information Sciences, Vol. 624, pp. 467-492
2022
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Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques
International Journal of Approximate Reasoning, Vol. 150, pp. 55-82
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Quantile-based fuzzy clustering of multivariate time series in the frequency domain
Fuzzy Sets and Systems, Vol. 443, pp. 115-154
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Spatial Weighted Robust Clustering of Multivariate Time Series Based on Quantile Dependence With an Application to Mobility During COVID-19 Pandemic
IEEE Transactions on Fuzzy Systems, Vol. 30, Núm. 9, pp. 3990-4004
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Unsupervised Classification of Categorical Time Series through Innovative Distances
Proceedings of the International Conference on Statistics
2021
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Robust Methods for Soft Clustering of Multidimensional Time Series †
Engineering Proceedings, Vol. 7, Núm. 1
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Spatial weighted robust clustering of multivariate time series based on quantile dependence with an application to mobility during COVID-19 pandemic
CEUR Workshop Proceedings
2020
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Robust fuzzy clustering based on quantile autocovariances
Statistical Papers, Vol. 61, Núm. 6, pp. 2393-2448
2018
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Quantile autocovariances: A powerful tool for hard and soft partitional clustering of time series
Fuzzy Sets and Systems, Vol. 340, pp. 38-72