The ehymet (Methodologies for functional data based on the epigraph and hypograph indices) 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.
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
Belén Pulido, Alba M. Franco-Pereira, Rosa E. Lillo (2023). “The epigraph and the hypograph indices as useful tools for clustering multivariate functional data.” doi: 10.48550/arXiv.2307.16720
You can install the development version of ehymet from github using the remotes package:
# install.packages("remotes")
remotes::install_github("bpulidob/ehymet")
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.