gpcaEvecs: gPCA using pre-computed eidendecomposition

View source: R/adaptivegpca-package.R

gpcaEvecsR Documentation

gPCA using pre-computed eidendecomposition

Description

Performs gPCA with pre-computed eigenvectors and eigenvalues.

Usage

gpcaEvecs(X, evecs, evals, D = rep(1, nrow(X)), k)

Arguments

X

Data matrix.

evecs

Eigenvectors of Q, the inner product/similarity matrix.

evals

Eigenvalues of Q.

D

Sample weights

k

The number of components to return.


jfukuyama/adaptiveGPCA documentation built on Jan. 10, 2023, 3:22 p.m.