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matchFeat  

One-to-One Feature Matching
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("matchFeat", "1.0")



Attach the package and use:
library("matchFeat")
Maintained by
David Degras
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-13
Latest Update: 2022-12-13
Description:
Statistical methods to match feature vectors between multiple datasets in a one-to-one fashion. Given a fixed number of classes/distributions, for each unit, exactly one vector of each class is observed without label. The goal is to label the feature vectors using each label exactly once so to produce the best match across datasets, e.g. by minimizing the variability within classes. Statistical solutions based on empirical loss functions and probabilistic modeling are provided. The 'Gurobi' software and its 'R' interface package are required for one of the package functions (match.2x()) and can be obtained at (free academic license). For more details, refer to Degras (2022) "Scalable feature matching for large data collections" and Bandelt, Maas, and Spieksma (2004) "Local search heuristics for multi-index assignment problems with decomposable costs".
How to cite:
David Degras (2022). matchFeat: One-to-One Feature Matching. R package version 1.0, https://cran.r-project.org/web/packages/matchFeat. Accessed 05 Jun. 2026.
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