2 citations · 2 across the 4 of their papers we have counts for
4 papers
Analyzing categorical time series with the R package ctsfeatures
Ángel López Oriona, José Antonio Vilar Fernández
Time series data are ubiquitous nowadays. Whereas most of the literature on the topic deals with real-valued time series, categorical time series have received much less attention.…
Fuzzy clustering of ordinal time series based on two novel distances with economic applications
Ángel López Oriona, Christian Weiss, José Antonio Vilar
Time series clustering is a central machine learning task with applications in many fields. While the majority of the methods focus on real-valued time series, very few works consi…
Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques
Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar +1
Three robust methods for clustering multivariate time series from the point of view of generating processes are proposed. The procedures are robust versions of a fuzzy C-means mode…
Quantile-based fuzzy clustering of multivariate time series in the frequency domain
Ángel López-Oriona, José A. Vilar, Pierpaolo-D'Urso
A novel procedure to perform fuzzy clustering of multivariate time series generated from different dependence models is proposed. Different amounts of dissimilarity between the gen…