The Gaussian RBF (radial basis function) kernel is a kernel trick method that projects a new feature space in higher dimensions by measuring the distance between all data examples and data examples that are defined as centers.
The Gaussian RBF (radial basis function) kernel is a kernel trick method that projects a new feature space in higher dimensions by measuring the distance between all data examples and data examples that are defined as centers.
