 Solution

The feature space may be extremely high-dimensional or infinite-dimensional, and $\varphi$ may be known only implicitly. Instead, compute the leading eigenvector $\alpha$ of the kernel matrix $K$, normalize it by ${\alpha }^{\top }K\alpha =1$, and use the kernel trick:This requires only kernel evaluations.