FKmL: Fréchet Distance-Based K-Means and Extensions for Longitudinal
Data
Implements shape-based clustering algorithms for multidimensional longitudinal data based on the Fréchet distance. It implements two main methods: MFKmL (Multidimensional Fréchet distance-based K-means for Longitudinal data), an extension of the K-means algorithm using the Fréchet distance originally developed in the 'kmlShape' package, adapted for multidimensional trajectories; and SFKmL (Sparse multidimensional Fréchet distance-based K-medoids for Longitudinal data), a K-medoids-based clustering algorithm that incorporates variable selection. These tools are designed to enhance clustering performance in high-dimensional longitudinal data settings, particularly those with time delays, variations in trajectory speed, irregular sampling intervals, and noise. This package implements methods derived from Kang et al. (2023) <doi:10.1007/s11222-023-10237-z>.
| Version: |
0.1.1 |
| Depends: |
R (≥ 4.3) |
| Imports: |
dplyr, ggplot2, proxy, abind |
| Published: |
2025-07-02 |
| Author: |
Ji Hyun Park [aut, cre],
Soon-Sun Kwon [aut],
Ilsuk Kang [aut, ctb] |
| Maintainer: |
Ji Hyun Park <jhn1105 at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
FKmL results |
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