Ángel López-Oriona

IEEE Trans. Fuzzy Syst., July, 2025

Lag selection in feature-based clustering of time series.

[BibT_eX]

[DOI]

Ying Sun

Knowl. Based Syst., 2025

Time series clustering based on prediction accuracy of global forecasting models.

[BibT_eX]

[DOI]

Pablo Montero-Manso

Knowl. Based Syst., 2025

Dependence-Based Fuzzy Clustering of Functional Time Series.

[BibT_eX]

[DOI]

Ying Sun

Han Lin Shang

J. Comput. Graph. Stat., 2025

FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2025

2024

Analyzing categorical time series with the package ctsfeatures.

[BibT_eX]

[DOI]

J. Comput. Sci., 2024

Fuzzy clustering of circular time series based on a new dependence measure with applications to wind data.

[BibT_eX]

[DOI]

Ying Sun

Rosa M. Crujeiras

CoRR, 2024

2023

Two novel distances for ordinal time series and their application to fuzzy clustering.

[BibT_eX]

[DOI]

Christian H. Weiß

Fuzzy Sets Syst., September, 2023

Machine learning for multivariate time series with the R package <i>mlmts</i>.

[BibT_eX]

[DOI]

Neurocomputing, June, 2023

Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences.

[BibT_eX]

[DOI]

Inf. Sci., May, 2023

Analyzing categorical time series with the R package ctsfeatures.

[BibT_eX]

[DOI]

José Antonio Vilar Fernández

CoRR, 2023

Ordinal time series analysis with the R package otsfeatures.

[BibT_eX]

[DOI]

José Antonio Vilar Fernández

CoRR, 2023

Fuzzy clustering of ordinal time series based on two novel distances with economic applications.

[BibT_eX]

[DOI]

Christian Weiss

CoRR, 2023

2022

The bootstrap for testing the equality of two multivariate time series with an application to financial markets.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Quantile-based fuzzy <i>C</i>-means clustering of multivariate time series: Robust techniques.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

Quantile-based fuzzy clustering of multivariate time series in the frequency domain.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2022

Clustering of Time Series Based on Forecasting Performance of Global Models.

[BibT_eX]

[DOI]

Pablo Montero-Manso

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021

Outlier detection for multivariate time series: A functional data approach.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Quantile cross-spectral density: A novel and effective tool for clustering multivariate time series.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques.

[BibT_eX]

[DOI]

CoRR, 2021

Spatial weighted robust clustering of multivariate time series based on quantile dependence with an application to mobility during COVID-19 pandemic.

[BibT_eX]

[DOI]