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'))

Peer review:

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

On CRAN:

data-miningfeature-selectionintrinsic-dimensionmorisita-estimator

2.90 score 1 stars 16 scripts 268 downloads 11 exports 5 dependencies

Last updated 4 years agofrom:5d12d610e2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winOKNov 05 2024
R-4.5-linuxOKNov 05 2024
R-4.4-winOKNov 05 2024
R-4.4-macOKNov 05 2024
R-4.3-winOKNov 05 2024
R-4.3-macOKNov 05 2024

Exports:ButterflylogMINDEXMBFRMBFR_parallelMBRMMBRM_parallelMINDEX_SPMINDIDMINDID_FMCRenDimSwissRoll

Dependencies:codetoolsdata.tabledoParallelforeachiterators