xinghuq/KLFDAPC: KLFDAPC: Kernel Local Fisher Discriminant Analysis of Principal Components- A Non-linear Tool for Population Structure Inference.

This package implements Kernel local Fisher discriminant analysis of principal components(KLFDAPC). KLFDAPC is known for appying the kernel trick considering the non-linear properties of the data, therefore non-linearlized the local Fisher discriminant analysis. It not only preserves between -group variances, but also retains the within-group variances of tha data. In other words, it keeps both the global and local structure of the data.

Getting started

Package details

AuthorXinghu Qin
MaintainerXinghu Qin <qinxinghu@gmail.com>
LicenseGPL (>= 3)
Version0.2.0
URL https://github.com/xinghuq/KLFDAPC
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("xinghuq/KLFDAPC")
xinghuq/KLFDAPC documentation built on June 12, 2022, 7:20 p.m.