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intrinsicDimension  

Intrinsic Dimension Estimation
View on CRAN: Click here


Download and install intrinsicDimension package within the R console
Install from CRAN:
install.packages("intrinsicDimension")

Install from Github:
library("remotes")
install_github("cran/intrinsicDimension")

Install by package version:
library("remotes")
install_version("intrinsicDimension", "1.2.0")



Attach the package and use:
library("intrinsicDimension")
Maintained by
Kerstin Johnsson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-26
Latest Update: 2019-06-07
Description:
A variety of methods for estimating intrinsic dimension of data sets (i.e the manifold or Hausdorff dimension of the support of the distribution that generated the data) as reviewed in Johnsson, K. (2016, ISBN:978-91-7623-921-6) and Johnsson, K., Soneson, C. and Fontes, M. (2015) . Furthermore, to evaluate the performance of these estimators, functions for generating data sets with given intrinsic dimensions are provided.
How to cite:
Kerstin Johnsson (2017). intrinsicDimension: Intrinsic Dimension Estimation. R package version 1.2.0, https://cran.r-project.org/web/packages/intrinsicDimension
Previous versions and publish date:
1.1.0 (2017-11-26 17:42)
Other packages that cited intrinsicDimension R package
View intrinsicDimension citation profile
Other R packages that intrinsicDimension depends, imports, suggests or enhances
Functions, R codes and Examples using the intrinsicDimension R package
Some associated functions: DANCo . ESS . M_hein . Noisefun . Spherical . addNoise . asPointwise . bs . cornerPlane . cuthplane . cuthsphere . essReference . hcube . ide . intrinsicDimension-package . kNN . lpca . maxLik . neighborhoods . oblong . swissRoll . twinPeaks . 
Some associated R codes: DANCo.R . DANCoCalibrationData.R . DimEst.R . ESS.R . bs.R . fRr_approx.R . ide.R . kNN.R . make_vec.R . maxLik.R . myKummer.R . noise_fun.R . pcaest.R . pointwise.R .  Full intrinsicDimension package functions and examples
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