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IDmining
View on CRAN: Click
here
Download and install IDmining package within the R console
Install from CRAN:
install.packages("IDmining")
Install from Github:
library("remotes")
install_github("cran/IDmining")
Install by package version:
library("remotes")
install_version("IDmining", "1.0.7")
Attach the package and use:
library("IDmining")
Maintained by
Jean Golay
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-25
Latest Update: 2021-05-03
Description:
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.
How to cite:
Jean Golay (2016). IDmining: Intrinsic Dimension for Data Mining. R package version 1.0.7, https://cran.r-project.org/web/packages/IDmining. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Other R packages that IDmining depends,
imports, suggests or enhances
Complete documentation for IDmining
Functions, R codes and Examples using
the IDmining R package
Some associated functions: Butterfly . IDmining-package . MBFR . MBFR_parallel . MBRM . MBRM_parallel . MINDEX_SP . MINDID . MINDID_FMC . RenDim . SwissRoll . logMINDEX .
Some associated R codes: Butterfly.R . IDmining.R . MBFR_parallel.R . MBRM.R . MBRM_parallel.R . MINDEX_SP.R . MINDID.R . MINDID_FMC.R . MINDID_SFS.R . RenDim.R . SwissRoll.R . logMINDEX.R . Full IDmining package functions and examples
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