as.kernelMatrix: Assing kernelMatrix class to matrix objects

In kernlab: Kernel-Based Machine Learning Lab

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
[e-mail]

See Also

kernelMatrix, dots

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 documentation built on Sept. 12, 2024, 6:51 a.m.