Package: IDmining
Type: Package
Title: Intrinsic Dimension for Data Mining
Version: 1.0.7
Authors@R: c(
  person("Jean","Golay", role=c("aut","cre"), email="jeangolay@gmail.com"),
  person("Mohamed","Laib", role=c("aut"), email="laib.med@gmail.com"))
Author: Jean Golay [aut, cre],
  Mohamed Laib [aut]
Maintainer: Jean Golay <jeangolay@gmail.com>
Description: Contains techniques for mining large and high-dimensional data
    sets by using the concept of Intrinsic Dimension (ID). Here the ID is
    not necessarily an integer. It is extended to fractal dimensions. And
    the Morisita estimator is used for the ID estimation, but other
    tools are included as well.
Imports: data.table, doParallel, parallel, foreach, stats, utils
License: CC BY-NC-SA 4.0
URL: https://www.sites.google.com/site/jeangolayresearch/
Encoding: UTF-8
RoxygenNote: 7.1.1
Note: The authors are grateful to Mikhail Kanevski, Michael
        Leuenberger, Carmen D. Vega Orozco and Fabian Guignard for many
        fruitful discussions about the use of intrinsic dimension in
        data mining.
NeedsCompilation: no
Packaged: 2021-05-02 23:26:58 UTC; jeang
Repository: CRAN
Date/Publication: 2021-05-03 04:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 03:55:18 UTC; unix
