Evaluating multivariate time-series clustering using simulated ecological momentary assessment data

Evaluating multivariate time-series clustering using simulated ecological momentary assessment data

During an Ecological Momentary Assessment (EMA) study, through repeated digital questionnaires, we have the opportunity to collect multiple multivariate time-series (MTS) data for all participants. Although, it is common that individual data is analyzed per participant, the richness of such dataset...

Full description

Bibliographic Details
Main Authors: Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, Anne Roefs
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Machine Learning with Applications
Subjects:
Multivariate time-series
Ecological momentary assessment
Clustering
Distance time warping
Global alignment kernel
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827023000658

Internet

http://www.sciencedirect.com/science/article/pii/S2666827023000658

Similar Items