The main function of GARS is
GARS_GA, which implements a
clustering-based Genetic Algorithm to select
Robust Subsets of features in high-dimensional datasets.
The user can extract the results of
GARS_GA, exploiting the assessor methods:
See the package vignette, by typing
vignette("GARS") to discover
Mattia Chiesa, Giada Maioli, Luca Piacentini
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