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lfda
View on CRAN: Click
here
Download and install lfda package within the R console
Install from CRAN:
install.packages("lfda")
Install from Github:
library("remotes")
install_github("cran/lfda") Install by package version:
library("remotes")
install_version("lfda", "1.1.3") Attach the package and use:
library("lfda")
Maintained by
Yuan Tang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-08-13
Latest Update: 2019-07-31
Description:
Functions for performing and visualizing Local Fisher Discriminant
Analysis(LFDA), Kernel Fisher Discriminant Analysis(KLFDA), and Semi-supervised
Local Fisher Discriminant Analysis(SELF).
How to cite:
Yuan Tang (2015). lfda: Local Fisher Discriminant Analysis. R package version 1.1.3, https://cran.r-project.org/web/packages/lfda. Accessed 25 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for lfda
Functions, R codes and Examples using
the lfda R package
Some associated functions: Cols . getAffinityMatrix . getMetricOfType . grapes-pow-grapes . klfda . kmatrixGauss . lfda . plot.lfda . predict.lfda . print.lfda . repmat . self .
Some associated R codes: aaa.R . helpers.R . klfda.R . kmatrixGauss.R . lfda.R . lfda_visualization.R . self.R . Full lfda package functions and examples
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