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Clustering longitudinal data using R: a Monte Carlo study
Peter Verboon
*
,
R.J. Pat El
*
Corresponding author for this work
Research Line Theory, Methods and Statistics (part of UHC program)
Research Program Understanding Human Change in a Dynamic, Digital Era (UHC)
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Keyphrases
K-means
100%
Change Analysis
100%
Longitudinal Data
100%
Monte Carlo Study
100%
Change of Measure
100%
Small Dataset
50%
Nonparametric
50%
Indexing Methods
50%
Individual Trajectory
50%
Latent Class Mixture Model
50%
Longitudinal Trajectories
50%
Mixture Model
50%
Clustering Structure
50%
Computer Science
Research Topic
100%
Identify Cluster
100%
Longitudinal Data
100%
Clustering Structure
100%
Mean Algorithm
100%
Small Data Set
100%
Mathematics
Monte Carlo Study
100%
Mixture Model
100%
Longitudinal Data
100%
Method Performs
100%
Parametric
50%
Longitudinal Trajectory
50%
Clustering
50%
Engineering
Index Change
100%