Listar GI-MODES - Artigos por autor "D'Urso, Pierpaolo"
Mostrando ítems 1-3 de 3
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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 ...