kernelMatrix {CEGO} | R Documentation |

## Calculate Kernel Matrix

### Description

Calculate the similarities between all samples in a list, and return as matrix.

### Usage

```
kernelMatrix(X, kernFun, ...)
```

### Arguments

`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 |

### Value

The similarity / kernel matrix

### Examples

```
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)
```

[Package

*CEGO*version 2.4.3 Index]