/**
* Compute the spectrum kernel by Leslie et al. (2002).
* @param x first string
* @param y second string
* @return spectrum kernel
*/
float kern_spectrum_compare(hstring_t x, hstring_t y)
{
float k = kernel(x, y);
return knorm(n, k, x, y, kernel);
}
/**
* Internal kernel function.
* @param x first string
* @param y second string
* @return kernel value
*/
static float kernel(hstring_t x, hstring_t y)
{
double k = func[kern].measure_compare(x, y);
return knorm(norm, k, x, y, func[kern].measure_compare);
}
/**
* Compute a distance substitution kernel
* @param x first string
* @param y second string
* @return distance substitution kernel
*/
float kern_distance_compare(hstring_t x, hstring_t y)
{
float k = kernel(x, y);
return knorm(norm, k, x, y, kernel);
}
/**
* Compute the weighted-degree kernel with shift. If the strings have
* unequal size, the remaining symbols of the longer string are ignored (in
* accordance with the kernel definition)
* @param x first string
* @param y second string
* @return weighted-degree kernel
*/
float kern_wdegree_compare(hstring_t x, hstring_t y)
{
float k = kernel(x, y);
return knorm(n, k, x, y, kernel);
}