Pattern‐based clustering of daily weigh‐in trajectories using dynamic time warping-Reference-Cited by-同舟云学术

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Pattern‐based clustering of daily weigh‐in trajectories using dynamic time warping

Published:2022-10-21 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Bothwell Samantha¹^ORCID,Kaizer Alex¹,Peterson Ryan¹,Ostendorf Danielle²,Catenacci Victoria²,Wrobel Julia¹

Affiliation:

1. Department of Biostatistics and Informatics, Colorado School of Public Health University of Colorado Anschutz Medical Campus Aurora Colorado USA

2. Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes University of Colorado Anschutz Medical Campus Aurora Colorado USA

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13773

Reference47 articles.

1. A characterization of linkage‐based hierarchical clustering;Ackerman M.;Journal of Machine Learning Research,2016

2. Long-term weight-loss maintenance: a meta-analysis of US studies

3. Ansari Z. Azeem M.F. Ahmed W.&Babu A.V.(2015)Quantitative evaluation of performance and validity indices for clustering the web navigational sessions.CoRR. arXiv: 1507.03340.

4. An extensive comparative study of cluster validity indices

5. Belgiu M. Zhou Y. Marshall M.&Stein A.(2020)Dynamic time warping for crops mapping.The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences XLIII‐B3‐2020 947–951.

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