Methods:
Return the kernel matrix K_{ij} = k(x_i, x_j).
Return the kernel vector K_i = k(x_i, a).
Linear Kernel
K(x, x') = x \cdot x'
Gaussian Kernel
K(x, x') = e^{-\frac{\|x - x'\|}{2 \sigma^2}}
Polynomial Kernel
K(x, x') = {(x \cdot x' + 1)}^d
Clustering
Supervised Classification
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