Package: IDmining 1.0.7

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.

Authors:Jean Golay [aut, cre], Mohamed Laib [aut]

IDmining_1.0.7.tar.gz
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IDmining.pdf |IDmining.html
IDmining/json (API)

# Install 'IDmining' in R:
install.packages('IDmining', repos = c('https://jeangolay.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jeangolay/idmining/issues

On CRAN:

Conda:

data-miningfeature-selectionintrinsic-dimensionmorisita-estimator

2.90 score 1 stars 16 scripts 370 downloads 11 exports 5 dependencies

Last updated 4 years agofrom:5d12d610e2. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-winOKMar 05 2025
R-4.5-macOKMar 05 2025
R-4.5-linuxOKMar 05 2025
R-4.4-winOKMar 05 2025
R-4.4-macOKMar 05 2025
R-4.4-linuxOKMar 05 2025
R-4.3-winOKMar 05 2025
R-4.3-macOKMar 05 2025

Exports:ButterflylogMINDEXMBFRMBFR_parallelMBRMMBRM_parallelMINDEX_SPMINDIDMINDID_FMCRenDimSwissRoll

Dependencies:codetoolsdata.tabledoParallelforeachiterators