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SparseVFC: Sparse Vector Field Consensus for Vector Field Learning

The sparse vector field consensus (SparseVFC) algorithm (Ma et al., 2013 <doi:10.1016/j.patcog.2013.05.017>) for robust vector field learning. Largely translated from the Matlab functions in <https://github.com/jiayi-ma/VFC>.

Version:0.1.2
Depends:R (≥ 4.1.0)
Imports:pdist,purrr
Suggests:ggplot2,dplyr,tibble,rmarkdown, grid,knitr
Published:2023-11-09
DOI:10.32614/CRAN.package.SparseVFC
Author:Jingmeng CuiORCID iD [aut, cre]
Maintainer:Jingmeng Cui <jingmeng.cui at outlook.com>
BugReports:https://github.com/Sciurus365/SparseVFC/issues
License:GPL (≥ 3)
URL:https://github.com/Sciurus365/SparseVFC
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:SparseVFC results

Documentation:

Reference manual:SparseVFC.html ,SparseVFC.pdf
Vignettes:demo (source,R code)

Downloads:

Package source: SparseVFC_0.1.2.tar.gz
Windows binaries: r-devel:SparseVFC_0.1.2.zip, r-release:SparseVFC_0.1.2.zip, r-oldrel:SparseVFC_0.1.2.zip
macOS binaries: r-release (arm64):SparseVFC_0.1.2.tgz, r-oldrel (arm64):SparseVFC_0.1.2.tgz, r-release (x86_64):SparseVFC_0.1.2.tgz, r-oldrel (x86_64):SparseVFC_0.1.2.tgz
Old sources: SparseVFC archive

Reverse dependencies:

Reverse imports:fitlandr

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=SparseVFCto link to this page.


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