It is equivalent to compute `K` over centered data (i.e. the mean of each column is subtracted) in Feature Space.
Examples
dat <- matrix(rnorm(250),ncol=50,nrow=5)
K <- Linear(dat)
centerK(K)
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 36.683262 -13.383489 -12.032447 -9.653916 -1.613410
#> [2,] -13.383489 45.009171 -12.265942 -11.884602 -7.475137
#> [3,] -12.032447 -12.265942 37.211863 -4.253565 -8.659909
#> [4,] -9.653916 -11.884602 -4.253565 43.311665 -17.519581
#> [5,] -1.613410 -7.475137 -8.659909 -17.519581 35.268038
