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:
MatrixFeatures
, LastPop
,
AllPop
and FitScore
.
See the package vignette, by typing vignette("GARS")
to discover
all the GARS_GA
functions.
Mattia Chiesa, Giada Maioli, Luca Piacentini
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.