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.
Version: | 1.2.0 |
Depends: | yaImpute |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2019-06-07 |
DOI: | 10.32614/CRAN.package.intrinsicDimension |
Author: | Kerstin Johnsson, Lund University |
Maintainer: | Kerstin Johnsson <kerstin.johnsson at hotmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | intrinsicDimension results |
Reference manual: | intrinsicDimension.pdf |
Vignettes: |
Overview of intrinsicDimension package |
Package source: | intrinsicDimension_1.2.0.tar.gz |
Windows binaries: | r-devel: intrinsicDimension_1.2.0.zip, r-release: intrinsicDimension_1.2.0.zip, r-oldrel: intrinsicDimension_1.2.0.zip |
macOS binaries: | r-release (arm64): intrinsicDimension_1.2.0.tgz, r-oldrel (arm64): intrinsicDimension_1.2.0.tgz, r-release (x86_64): intrinsicDimension_1.2.0.tgz, r-oldrel (x86_64): intrinsicDimension_1.2.0.tgz |
Old sources: | intrinsicDimension archive |
Reverse imports: | pipeComp |
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