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
DOI:	10.32614/CRAN.package.FKmL
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

Documentation:

Reference manual:

FKmL.pdf

Downloads:

Package source:	FKmL_0.1.1.tar.gz
Windows binaries:	r-devel: FKmL_0.1.1.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): FKmL_0.1.1.tgz, r-oldrel (x86_64): FKmL_0.1.1.tgz

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