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.
Repository: https://jeangolay.r-universe.dev
Date/Publication: 2021-05-03 09:41:09 UTC
RemoteUrl: https://github.com/jeangolay/idmining
RemoteRef: HEAD
RemoteSha: 5d12d610e2111be78013365ca7b9bc3a769f8a46
NeedsCompilation: no
Packaged: 2026-10-08 08:22:15 UTC; root