https://jhp115.r-universe.devRecent package updates in jhp115R-universehttps://github.com/jhp115.pnghttps://jhp115.r-universe.devWed, 02 Jul 2025 15:39:08 GMTjhn1105@gmail.com (Ji Hyun Park)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>.https://github.com/r-universe/jhp115/actions/runs/27258159024Wed, 02 Jul 2025 15:39:08 GMTFKmL0.1.1successhttps://jhp115.r-universe.devhttps://github.com/cran/FKmL