Radial basis function kernel

Radial basis function kernel is a kind of mathematical rule that helps us classify things. Imagine you have pictures of two different kinds of animals, cats and dogs. If you have the rule of radial basis function kernel, it can help you sort these pictures and make sure the cats go in one pile and the dogs in another. How does it work? The rule looks at individual features of the animal (like the shape of their head or the length of their tail) and creates a kind of “map” of the different features. Then when you put a new animal picture in, it can look at the map and see which pile the animal most closely matches.