R/IDmining.R

In IDmining: Intrinsic Dimension for Data Mining

#' @references
#' J. Golay and M. Kanevski (2015). A new estimator of intrinsic dimension
#' based on the multipoint Morisita index,
#' \href{https://www.sciencedirect.com/science/article/pii/S0031320315002320}{Pattern Recognition 48 (12):4070–4081}.
#'
#' J. Golay, M. Leuenberger and M. Kanevski (2017). Feature selection for regression problems based
#' on the Morisita estimator of intrinsic dimension,
#' \href{https://www.sciencedirect.com/science/article/pii/S0031320317301905}{Pattern Recognition 70:126–138}.
#'
#' J. Golay and M. Kanevski (2017). Unsupervised feature selection based on the
#' Morisita estimator of intrinsic dimension,
#' \href{https://www.sciencedirect.com/science/article/pii/S0950705117303659}{Knowledge-Based Systems 135:125-134}.
#'
#' J. Golay, M. Leuenberger and M. Kanevski (2015).
#' \href{https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2015-41.pdf}{Morisita-based feature selection for regression problems}.
#' Proceedings of the 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and
#' Machine Learning (ESANN), Bruges (Belgium).
#'
#' @author
#' Jean Golay \email{jeangolay@@gmail.com} and
#' Mohamed Laib \email{laib.med@@gmail.com},
#'
#' Maintainer: Jean Golay \email{jeangolay@@gmail.com}
"_PACKAGE"