Methodologies for Functional Data Based on the Epigraph and Hypograph Indices

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Documentation for package ‘ehymet’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

clustering_validation	Create a table containing three validation metrics for clustering: Purity, F-measure and Rand Index (RI)
clustInd_hierarch	Perform hierarchical clustering for a different combinations of indices, method and distance
clustInd_kkmeans	Kernel k-means clustering using indices
clustInd_kmeans	K-means clustering with indices
clustInd_spc	Spectral clustering using indices
EHyClus	Clustering using Epigraph and Hypograph indices
EI	Epigraph Index (EI) for a functional dataset
generate_indices	Create a dataset with indices from a functional dataset in one or multiple dimensions
HI	Hypograph Index (HI) for a functional dataset
MEI	Modified Epigraph Index (MEI) for functional dataset.
MHI	Modified Hypograph Index (MHI) for a functional dataset
sim_model_ex1	Function for generating functional data in one dimension
sim_model_ex2	Function for generating functional data in one or multiple dimension