Abstract
In the field of psychopathology, Ecological Momentary Assessment (EMA) methodological advancements have offered new opportunities to collect time-intensive, repeated and intra-individual measurements. This way, a large amount of data has become available, providing the means for further exploring mental disorders. Consequently, advanced machine learning (ML) methods are needed to understand data characteristics and uncover hidden and meaningful relationships regarding the underlying complex psychological processes. Among other uses, ML facilitates the identification of similar patterns in data of different individuals through clustering. This paper focuses on clustering multivariate time-series (MTS) data of individuals into several groups. Since clustering is an unsupervised problem, it is challenging to assess whether the resulting grouping is successful. Thus, we investigate different clustering methods based on different distance measures and assess them for the stability and quality of the derived clusters. These clustering steps are illustrated on a real-world EMA dataset, including 33 individuals and 15 variables. Through evaluation, the results of kernel-based clustering methods appear promising to identify meaningful groups in the data. So, efficient representations of EMA data play an important role in clustering.
Original language | English |
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Title of host publication | Quantitative Psychology |
Editors | Marie Wiberg, Dylan Molenaar, Jorge González, Jee-Seon Kim, Heungsun Hwang |
Publisher | Springer, Cham |
Pages | 161-171 |
Number of pages | 11 |
ISBN (Electronic) | 978-3-031-27781-8 |
ISBN (Print) | 978-3-031-27780-1 |
DOIs | |
Publication status | Published - 2023 |
Event | The 87th Annual Meeting of the Psychometric Society - Bologna, Italy Duration: 11 Jul 2022 → 15 Jul 2022 Conference number: IMPS 2022 https://www.psychometricsociety.org/imps-2022 |
Publication series
Series | Springer Proceedings in Mathematics and Statistics |
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Volume | 422 |
ISSN | 2194-1009 |
Conference
Conference | The 87th Annual Meeting of the Psychometric Society |
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Country/Territory | Italy |
City | Bologna |
Period | 11/07/22 → 15/07/22 |
Internet address |
Keywords
- Ecological momentary assessment (EMA)
- Clustering
- DTW
- Global Alignment Kernel