Calculate Kernel Matrix
Calculate the similarities between all samples in a list, and return as matrix.
kernelMatrix(X, kernFun, ...)
X |
list of samples, where each list element is a suitable input for |
kernFun |
Kernel function of type f(x,y)=r, where r is a scalar and x and y are elements whose similarity is evaluated. |
... |
further arguments passed to distFun |
The similarity / kernel matrix
x <- list(5:1,c(2,4,5,1,3),c(5,4,3,1,2), sample(5))
kernFun <- function(x,y){
exp(-distancePermutationHamming(x,y))
}
kernelMatrix(x,distancePermutationHamming)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.