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IDmining  

Intrinsic Dimension for Data Mining
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]
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:
1.0.0 (2016-11-25 19:47), 1.0.1 (2017-06-15 15:40), 1.0.2 (2017-07-07 01:48), 1.0.3 (2017-10-25 17:35), 1.0.4 (2018-03-21 19:24), 1.0.5 (2018-08-08 16:50), 1.0.6 (2019-05-25 23:10)
Other packages that cited IDmining R package
View IDmining citation profile
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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