Data Science, Kernel Trick, Nonlinear Models, Machine Learning, Data Transformation.
be saved using a (𝑛×𝑘) and a (𝑘×𝑘) matrix. Because 𝑘 is usually chosen much smaller than 𝑛, this brings a huge advantage in memory efficiency. Also, the kernel function has to be applied 𝑛×𝑘 times only, which can appreciably reduce calculation time. Defining the parameter k Choosing the value of 𝑘