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lfda  

Local Fisher Discriminant Analysis
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]
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 30 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:52), 1.0.0 (2015-08-13 08:35), 1.1.0 (2015-08-19 00:07), 1.1.1 (2016-02-04 16:32), 1.1.2 (2017-01-05 11:34)
Other packages that cited lfda R package
View lfda citation profile
Other R packages that lfda depends, 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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