Insights into the Heterogeneity of Cognitive Aging: A Comparative Analysis of Two Data-Driven Clustering Algorithms
The results indicate that 2 distinct data-driven algorithms, with different heuristics, generated comparable patterns regarding cognitive heterogeneity within NC and MCI. These findings may inform future subtyping studies in cognitive aging, where replication of stratifications found across different methods is strongly recommended.
Authors
- Truc T.T. Nguyen (ORCID: https://orcid.org/0000-0002-7206-2521)
- Yu‐Ling Chang (ORCID: https://orcid.org/0000-0003-2851-3652)
Institutions
- National Taiwan University (TW)
- Institute of Information Science, Academia Sinica (TW)
- National Taipei University of Business (TW)
- Academia Sinica (TW)
- National Taipei University (TW)
Publication Details
- Journal
- The Journals of Gerontology Series B
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1093/geronb/gbaf022
- Citations
- 1
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 1.47