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
IDmining_1.0.7.zip(r-4.7)IDmining_1.0.7.zip(r-4.6)IDmining_1.0.7.zip(r-4.5)
IDmining_1.0.7.tgz(r-4.6-any)IDmining_1.0.7.tgz(r-4.5-any)
IDmining_1.0.7.tar.gz(r-4.7-any)IDmining_1.0.7.tar.gz(r-4.6-any)
IDmining_1.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 223 downloads 11 exports 5 dependencies

Last updated from:5d12d610e2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK91
source / vignettesOK143
linux-release-x86_64OK133
macos-release-arm64OK127
macos-oldrel-arm64OK227
windows-develOK80
windows-releaseOK97
windows-oldrelOK71
wasm-releaseOK89

Exports:ButterflylogMINDEXMBFRMBFR_parallelMBRMMBRM_parallelMINDEX_SPMINDIDMINDID_FMCRenDimSwissRoll

Dependencies:codetoolsdata.tabledoParallelforeachiterators