IDmining: Intrinsic Dimension for Data Mining

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.

Version: 1.0.7
Imports: data.table, doParallel, parallel, foreach, stats, utils
Published: 2021-05-03
Author: Jean Golay [aut, cre], Mohamed Laib [aut]
Maintainer: Jean Golay <jeangolay at gmail.com>
License: CC BY-NC-SA 4.0
URL: https://www.sites.google.com/site/jeangolayresearch/
NeedsCompilation: no
CRAN checks: IDmining results

Documentation:

Reference manual: IDmining.pdf

Downloads:

Package source: IDmining_1.0.7.tar.gz
Windows binaries: r-devel: IDmining_1.0.7.zip, r-release: IDmining_1.0.7.zip, r-oldrel: IDmining_1.0.7.zip
macOS binaries: r-release (arm64): IDmining_1.0.7.tgz, r-oldrel (arm64): IDmining_1.0.7.tgz, r-release (x86_64): IDmining_1.0.7.tgz
Old sources: IDmining archive

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