José Antonio Vilar
Orcid: 0000-0001-5494-171X
According to our database1,
José Antonio Vilar
authored at least 25 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
J. Comput. Sci., 2024
2023
Two novel distances for ordinal time series and their application to fuzzy clustering.
Fuzzy Sets Syst., September, 2023
Neurocomputing, June, 2023
Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences.
Inf. Sci., May, 2023
CoRR, 2023
Fuzzy clustering of ordinal time series based on two novel distances with economic applications.
CoRR, 2023
2022
Spatial Weighted Robust Clustering of Multivariate Time Series Based on Quantile Dependence With an Application to Mobility During COVID-19 Pandemic.
IEEE Trans. Fuzzy Syst., 2022
The bootstrap for testing the equality of two multivariate time series with an application to financial markets.
Inf. Sci., 2022
Quantile-based fuzzy <i>C</i>-means clustering of multivariate time series: Robust techniques.
Int. J. Approx. Reason., 2022
Fuzzy Sets Syst., 2022
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022
2021
Knowl. Based Syst., 2021
Quantile cross-spectral density: A novel and effective tool for clustering multivariate time series.
Expert Syst. Appl., 2021
Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques.
CoRR, 2021
2019
Two-sample homogeneity testing: A procedure based on comparing distributions of interpoint distances.
Stat. Anal. Data Min., 2019
Distributed classification based on distances between probability distributions in feature space.
Inf. Sci., 2019
2018
Quantile autocovariances: A powerful tool for hard and soft partitional clustering of time series.
Fuzzy Sets Syst., 2018
2016
Adv. Data Anal. Classif., 2016
2015
A framework for dissimilarity-based partitioning clustering of categorical time series.
Data Min. Knowl. Discov., 2015
Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015
2010
Comput. Stat. Data Anal., 2010
Comparing Several Parametric and Nonparametric Approaches to Time Series Clustering: A Simulation Study.
J. Classif., 2010
2009