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

On CRAN:

34 exports 11 stars 1.88 score 1 dependencies 1 dependents 1 mentions 58 scripts 514 downloads

Last updated 5 years agofrom:58229b57cc. Checks:OK: 7. Indexed: yes.

Exports:addNoiseasPointwiseEstimatorcornerPlanecutHyperPlanecutHyperSpheredancoDimEstdnoiseGaussHdnoiseNcChiessLocalDimEstessReferenceglobalIntrinsicDimensionhyperBallhyperCubehyperCubeEdgeshyperCubeFaceshyperSpherehyperTwinPeaksisotropicNormalknnDimEstlocalIntrinsicDimensionm14Manifoldm15ManifoldmaxLikGlobalDimEstmaxLikLocalDimEstmaxLikPointwiseDimEstmHeinManifoldneighborhoodsoblongNormalpcaLocalDimEstpcaOtpmPointwiseDimEstpointwiseIntrinsicDimensionswissRollswissRoll3SphtwinPeaks

Dependencies:yaImpute