clustra
Clustering Longitudinal Trajectories
Clusters longitudinal trajectories over time (can be unequally spaced, unequal length time series and/or partially overlapping series) on a common time axis. Performs k-means clustering on a single continuous variable measured over time, where each mean is defined by a thin plate spline fit to all points in a cluster. Distance is MSE across trajectory points to cluster spline. Provides graphs of derived cluster splines, silhouette plots, and Adjusted Rand Index evaluations of the number of clusters. Scales well to large data with multicore parallelism available to speed computation.
- Version0.2.1
- R version≥ 3.5.0
- LicenseBSD 2-clause License
- LicenseLICENSE
- Needs compilation?No
- Last release01/10/2024
Documentation
Team
George Ostrouchov
David Gagnon
Show author detailsRolesAuthorHanna Gerlovin
Show author detailsRolesAuthorChen Wei-Chen
Show author detailsRolesContributorSchmidt Drew
Show author detailsRolesContributorOak Ridge National Laboratory
Show author detailsRolesCopyright holderU.S. Department of Veteran's Affairs
Show author detailsRolesfnd
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- Imports3 packages
- Suggests3 packages