Clustering Multivariate Time Series
2 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering
Importantly, while certain features varied by age, the core characteristics of TBI manifestations tied to each phenotype remain consistent across diverse populations.
A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to TBI Phenotyping
To address these challenges, we present a Self-supervised Learning-based Approach to Clustering multivariate Time-series data with missing values (SLAC-Time).
Clustering individuals based on multivariate EMA time-series data
In the field of psychopathology, Ecological Momentary Assessment (EMA) methodological advancements have offered new opportunities to collect time-intensive, repeated and intra-individual measurements.
Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques
Robustness to the presence of outliers is achieved by using the so-called metric, noise and trimmed approaches.
Dynamic clustering of time series data
We propose a new method for clustering multivariate time-series data based on Dynamic Linear Models.
Optimal Transport vs. Fisher-Rao distance between Copulas for Clustering Multivariate Time Series
This clustering methodology leverages copulas which are distributions encoding the dependence structure between several random variables.
Optimal Copula Transport for Clustering Multivariate Time Series
This paper presents a new methodology for clustering multivariate time series leveraging optimal transport between copulas.
