Package: intrinsicDimension 1.2.0

intrinsicDimension: Intrinsic Dimension Estimation

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) <doi:10.1109/TPAMI.2014.2343220>. Furthermore, to evaluate the performance of these estimators, functions for generating data sets with given intrinsic dimensions are provided.

Authors:Kerstin Johnsson, Lund University

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NEWS

# Install 'intrinsicDimension' in R:
install.packages('intrinsicDimension', repos = c('https://kjohnsson.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kjohnsson/intrinsicdimension/issues

On CRAN:

5.98 score 11 stars 1 packages 58 scripts 497 downloads 1 mentions 34 exports 1 dependencies

Last updated 6 years agofrom:58229b57cc. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winOKOct 25 2024
R-4.5-linuxOKOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:addNoiseasPointwiseEstimatorcornerPlanecutHyperPlanecutHyperSpheredancoDimEstdnoiseGaussHdnoiseNcChiessLocalDimEstessReferenceglobalIntrinsicDimensionhyperBallhyperCubehyperCubeEdgeshyperCubeFaceshyperSpherehyperTwinPeaksisotropicNormalknnDimEstlocalIntrinsicDimensionm14Manifoldm15ManifoldmaxLikGlobalDimEstmaxLikLocalDimEstmaxLikPointwiseDimEstmHeinManifoldneighborhoodsoblongNormalpcaLocalDimEstpcaOtpmPointwiseDimEstpointwiseIntrinsicDimensionswissRollswissRoll3SphtwinPeaks

Dependencies:yaImpute

Overview of intrinsicDimension package

Rendered fromintrinsic-dimension-estimation.Rmdusingknitr::rmarkdownon Oct 25 2024.

Last update: 2019-05-23
Started: 2017-09-25