clusterMLD: An Efficient Hierarchical Clustering Method for Multivariate Longitudinal Data
Author:
Affiliation:
1. Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, IN
2. Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE
Funder
National Institutes of Health
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10618600.2022.2149540
Reference61 articles.
1. Unsupervised Curve Clustering using B-Splines
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1. Clustering Longitudinal Data: A Review of Methods and Software Packages;International Statistical Review;2024-08-13
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3. Trajectory clustering with adjustment for time-varying covariate effects;Journal of Nonparametric Statistics;2024-05-27
4. Joint clustering multiple longitudinal features: A comparison of methods and software packages with practical guidance;Statistics in Medicine;2023-10-03
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