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-any)IDmining_1.0.7.zip(r-4.6-any)IDmining_1.0.7.zip(r-4.5-any)
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✨
DESCRIPTION
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 342 downloads 11 exports 5 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK97
source / vignettesOK130
linux-releaseOK94
macos-releaseOK167
macos-oldrelOK231
windows-develOK77
windows-releaseOK60
windows-oldrelOK67
wasm-releaseOK79

Exports:ButterflylogMINDEXMBFRMBFR_parallelMBRMMBRM_parallelMINDEX_SPMINDIDMINDID_FMCRenDimSwissRoll

Dependencies:codetoolsdata.tabledoParallelforeachiterators