gpcaEvecs: gPCA using pre-computed eidendecomposition

In adaptiveGPCA: Adaptive Generalized PCA

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.

adaptiveGPCA documentation built on Dec. 8, 2022, 5:12 p.m.