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traj: Clustering of Functional Data Based on Measures of Change
Implements a three-step procedure in the spirit of Leffondre et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) computing a number of "measures of change" capturing various features of the trajectories; (2) using a Principal Component Analysis based dimension reduction algorithm to select a subset of measures and (3) using the k-medoids or k-means algorithm to identify clusters of trajectories.
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Package details |
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| Author | Marie-Pierre Sylvestre [aut], Laurence Boulanger [aut, cre], Gillis Delmas Tchouangue Dinkou [ctb], Dan Vatnik [ctb] |
| Maintainer | Laurence Boulanger <laurence.boulanger@umontreal.ca> |
| License | MIT + file LICENSE |
| Version | 2.2.1 |
| URL | https://CRAN.R-project.org/package=traj |
| Package repository | View on CRAN |
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