Listar por autor "D'Urso, Pierpaolo"
Mostrando ítems 1-6 de 6
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Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences
Lopez-Oriona, Ángel; Vilar, José; D'Urso, Pierpaolo (Elsevier, 2023)[Abstract]: Two novel distances between categorical time series are introduced. Both of them measure discrepancies between extracted features describing the underlying serial dependence patterns. One distance is based on ... -
Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques
López-Oriona, Ángel; D'Urso, Pierpaolo; Vilar, José; Lafuente Rego, Borja Raúl (Elsevier, 2022-11)[Abstract]: Robust fuzzy clustering of multivariate time series is addressed when the clustering purpose is grouping together series generated from similar stochastic processes. Robustness to the presence of anomalous ... -
Quantile-Based Fuzzy Clustering of Multivariate Time Series in the Frequency Domain
López-Oriona, Ángel; Vilar, José; D'Urso, Pierpaolo (Elsevier, 2022)[Abstract] A novel procedure to perform fuzzy clustering of multivariate time series generated from different dependence models is proposed. Different amounts of dissimilarity between the generating models or changes on ... -
Robust Methods for Soft Clustering of Multidimensional Time Series
López-Oriona, Ángel; D'Urso, Pierpaolo; Vilar, José; Lafuente Rego, Borja Raúl (MDPI, 2021)[Abstract] Three robust algorithms for clustering multidimensional time series from the perspective of underlying processes are proposed. The methods are robust extensions of a fuzzy C-means model based on estimates of the ... -
Unsupervised classification of categorical time series through innovative distances
López-Oriona, Ángel; Vilar, José; D'Urso, Pierpaolo (Avestia Publishing, 2022)[Abstract]: In this paper, two novel distances for nominal time series are introduced. Both of them are based on features describing the serial dependence patterns between each pair of categories. The first dissimilarity ... -
Unsupervised Classification of Categorical Time Series Through Innovative Distances
López-Oriona, Ángel; Vilar, José; D'Urso, Pierpaolo (Springer Science and Business Media Deutschland GmbH, 2023)[Abstract]: In this paper, two novel distances for nominal time series are introduced. Both of them are based on features describing the serial dependence patterns between each pair of categories. The first dissimilarity ...