research
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04/30/2023
Time series clustering based on prediction accuracy of global forecasting models
In this paper, a novel method to perform model-based clustering of time ...
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04/30/2023
New bootstrap tests for categorical time series. A comparative study
The problem of testing the equality of the generating processes of two c...
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04/24/2023
Ordinal time series analysis with the R package otsfeatures
The 21st century has witnessed a growing interest in the analysis of tim...
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04/24/2023
Fuzzy clustering of ordinal time series based on two novel distances with economic applications
Time series clustering is a central machine learning task with applicati...
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04/24/2023
Analyzing categorical time series with the R package ctsfeatures
Time series data are ubiquitous nowadays. Whereas most of the literature...
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09/22/2021
Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques
Three robust methods for clustering multivariate time series from the po...
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09/08/2021
