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SparseVFC  

Sparse Vector Field Consensus for Vector Field Learning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SparseVFC", "0.1.2")



Attach the package and use:
library("SparseVFC")
Maintained by
Jingmeng Cui
[Scholar Profile | Author Map]
First Published: 2022-05-27
Latest Update: 2023-11-09
Description:
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>.
How to cite:
Jingmeng Cui (2022). SparseVFC: Sparse Vector Field Consensus for Vector Field Learning. R package version 0.1.2, https://cran.r-project.org/web/packages/SparseVFC. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2022-05-27 10:10), 0.1.1 (2023-02-15 13:50)
Other packages that cited SparseVFC R package
View SparseVFC citation profile
Other R packages that SparseVFC depends, imports, suggests or enhances
Complete documentation for SparseVFC
Functions, R codes and Examples using the SparseVFC R package
Some associated functions: SparseVFC . church . norm_vecs . predict.VFC . 
Some associated R codes: SparseVFC.R . data.R .  Full SparseVFC package functions and examples
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