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`simK()` computes the similarity between kernel matrices.
simK(Klist)
Kernel matrix (dimension: MxM).
A list of M kernel matrices with identical NxN dimension.
It is a wrapper of `Frobenius()`.
K1 <- Linear(matrix(rnorm(7500),ncol=150,nrow=50)) K2 <- Linear(matrix(rnorm(7500),ncol=150,nrow=50)) K3 <- Linear(matrix(rnorm(7500),ncol=150,nrow=50)) simK(list(K1,K2,K3))
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