Performs right-multiplication of a data matrix `X` by a kernel matrix `Kern`,
optionally with symmetric normalization.
Usage
convolve_matrix(X, Kern, normalize = FALSE)
Arguments
- X
A data matrix to be transformed (n x p).
- Kern
A square kernel matrix (p x p) used for the transformation.
- normalize
A logical flag indicating whether to apply symmetric normalization
D^(-1/2) Kern D^(-1/2) before multiplication (default: FALSE).
Value
A matrix resulting from X %*% Kern (or normalized version).
A matrix resulting from X %*% Kern (or the normalized version when normalize=TRUE).
Examples
X <- matrix(1:6, nrow=2)
K <- diag(3)
convolve_matrix(X, K)
#> [,1] [,2] [,3]
#> [1,] 1 3 5
#> [2,] 2 4 6