IDmining: Intrinsic Dimension for Data Mining

Contains techniques for mining large high-dimensional data sets by using the concept of Intrinsic Dimension (ID). Here the ID is not necessarily 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: 1.0.2
Imports: data.table, doParallel, parallel, foreach, stats, utils
Published: 2017-07-06
Author: Jean Golay and Mohamed Laib
Maintainer: Jean Golay <Jean.Golay at unil.ch>
License: CC BY-NC-SA 4.0
URL: https://www.sites.google.com/site/jeangolayresearch/
NeedsCompilation: no
CRAN checks: IDmining results

Downloads:

Reference manual: IDmining.pdf
Package source: IDmining_1.0.2.tar.gz
Windows binaries: r-devel: IDmining_1.0.2.zip, r-release: IDmining_1.0.2.zip, r-oldrel: IDmining_1.0.2.zip
OS X El Capitan binaries: r-release: IDmining_1.0.2.tgz
OS X Mavericks binaries: r-oldrel: IDmining_1.0.2.tgz
Old sources: IDmining archive

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