SFtools: Space Filling Based Tools for Data Mining

#' @references
#' M. Laib, M. Kanevski, 
#' \href{https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2018-57.pdf}{A novel 
#' filter algorithm for unsupervised feature selection based on a space filling measure}. 
#' Proceedings of the 26rd European Symposium on Artificial Neural Networks, Computational 
#' Intelligence and Machine Learning (ESANN), pp. 485-490, Bruges (Belgium), 2018.
#' 
#' M. Laib and M. Kanevski, A new algorithm for redundancy minimisation in 
#' geo-environmental data, 2019.
#' \href{https://www.sciencedirect.com/science/article/pii/S0098300418310975}{Computers & 
#' Geosciences, 133 104328}.
#'
#' J. A. Royle, D. Nychka, An algorithm for the construction of spatial
#' coverage designs with implementation in Splus, Computers and Geosciences
#' 24 (1997) p. 479–488.
#'
#' J. Franco, Planification d’expériences numériques en phase exploratoire
#' pour la simulation des phénomènes complexes, Thesis (2008) 282.
#'
#' D. Dupuy, C. Helbert, J. Franco (2015). DiceDesign
#' and DiceEval: Two R Packages for Design and Analysis of Computer
#' Experiments. Journal of Statistical Software, 65(11), 1-38.
#' \href{http://www.jstatsoft.org/v65/i11/}{Jstatsoft}.
#'
#' @author
#' Mohamed Laib \email{Mohamed.Laib@@gmail.com}  and
#'
#'  Mikhail Kanevski \email{Mikhail.Kanevski@@unil.ch},
#'
#' Maintainer: Mohamed Laib \email{laib.med@@gmail.com}
"_PACKAGE"