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,] 55.68802 -17.003217 -18.302657 -14.332653 -6.04949
#> [2,] -17.00322 34.483623 2.404086 -6.543107 -13.34138
#> [3,] -18.30266 2.404086 32.183244 -6.129631 -10.15504
#> [4,] -14.33265 -6.543107 -6.129631 37.751391 -10.74600
#> [5,] -6.04949 -13.341385 -10.155042 -10.746000 40.29192