kernlab: as.kernelMatrix – R documentation

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as.kernelMatrix

Assing kernelMatrix class to matrix objects

Description

as.kernelMatrix in package kernlab can be used to coerce the kernelMatrix class to matrix objects representing a kernel matrix. These matrices can then be used with the kernelMatrix interfaces which most of the functions in kernlab support.

Usage

## S4 method for signature 'matrix'
as.kernelMatrix(x, center = FALSE)

Arguments

`x`	matrix to be assigned the `kernelMatrix` class
`center`	center the kernel matrix in feature space (default: FALSE)

Author(s)

Alexandros Karatzoglou
alexandros.karatzoglou@ci.tuwien.ac.at

Examples

## Create toy data
x <- rbind(matrix(rnorm(10),,2),matrix(rnorm(10,mean=3),,2))
y <- matrix(c(rep(1,5),rep(-1,5)))

### Use as.kernelMatrix to label the cov. matrix as a kernel matrix
### which is eq. to using a linear kernel 

K <- as.kernelMatrix(crossprod(t(x)))

K

svp2 <- ksvm(K, y, type="C-svc")

svp2

kernlab

Kernel-Based Machine Learning Lab

v0.9-29

GPL-2

Authors

Alexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut], National ICT Australia (NICTA) [cph], Michael A. Maniscalco [ctb, cph], Choon Hui Teo [ctb]

Initial release