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dml  

Distance Metric Learning in R
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dml", "1.1.0")



Attach the package and use:
library("dml")
Maintained by
Yuan Tang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-08-29
Latest Update: 2015-08-29
Description:
The state-of-the-art algorithms for distance metric learning, including global and local methods such as Relevant Component Analysis, Discriminative Component Analysis, Local Fisher Discriminant Analysis, etc. These distance metric learning methods are widely applied in feature extraction, dimensionality reduction, clustering, classification, information retrieval, and computer vision problems.
How to cite:
Yuan Tang (2015). dml: Distance Metric Learning in R. R package version 1.1.0, https://cran.r-project.org/web/packages/dml. Accessed 09 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited dml R package
View dml citation profile
Other R packages that dml depends, imports, suggests or enhances
Complete documentation for dml
Functions, R codes and Examples using the dml R package
Some associated functions: GdmDiag . GdmFull . dca . rca . 
Some associated R codes: aaa.R . dca.R . rca.R .  Full dml package functions and examples
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