The ehymet package define the epigraph, the hypograph and their modified versions for functional datasets in one and multiple dimensions. These indices allow to transform a functional dataset into a multivariate one, where usual clustering techniques can be applied. This package implements EHyClus method for clustering functional data in one or multiple dimension.
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Belén Pulido, Alba M. Franco-Pereira, Rosa E. Lillo (2023). “A fast epigraph and hypograph-based approach for clustering functional data.” Statistics and Computing, 33, 36. doi: 10.1007/s11222-023-10213-7
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Belén Pulido, Alba M. Franco-Pereira, Rosa E. Lillo (2025). “Clustering multivariate functional data using the epigraph and hypograph indices: a case study on Madrid air quality.” Stochastic Environmental Research and Risk Assesment, 1-25. doi: 10.1007/s00477-025-02986-2
You can install the development version of ehymet from github using the remotes package:
# install.packages("remotes")
remotes::install_github("bpulidob/ehymet")This package is part of the project/grant PDC2022-133359-I00 funded by MCIN/AEI/10.13039/501100011033 and by the European Union “NextGenerationEU/PRTR”.
