5 citations · 9 across the 11 of their papers we have counts for
4 papers · 1 filter
FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis
Ziling Ma, Ángel López-Oriona, Hernando Ombao +1
Clustering multivariate time series data is a crucial task in many domains, as it enables the identification of meaningful patterns and groups in time-evolving data. Traditional ap…
Dependence-based fuzzy clustering of functional time series
Angel Lopez-Oriona, Ying Sun, Han Lin Shang
Time series clustering is essential in scientific applications, yet methods for functional time series, collections of infinite-dimensional curves treated as random elements in a H…
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…